Fang-Xiang Wu

发表

Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data

Yuanyuan Li, Fang-Xiang Wu, Ping Luo, 2019, ICIC.

Mining protein complexes based on topology potential from weighted dynamic PPI network

Xiujuan Lei, Yuchen Zhang, Aidong Zhang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A New Method for Predicting Protein Functions From Dynamic Weighted Interactome Networks

Xueyong Li, Yaohang Li, Fang-Xiang Wu, 2016, IEEE Transactions on NanoBioscience.

Transittability of complex networks and its applications to regulatory biomolecular networks

Juan Liu, Fang-Xiang Wu, Jianxin Wang, 2014, Scientific Reports.

Identifying Disease-Gene Associations With Graph-Regularized Manifold Learning

Fang-Xiang Wu, P. Luo, Qianghua Xiao, 2019, Front. Genet..

Evaluation of Pathway Activation for a Single Sample Toward Inflammatory Bowel Disease Classification

Fang-Xiang Wu, Jianxin Wang, Min Li, 2020, Frontiers in Genetics.

NovoHCD: De novo Peptide Sequencing From HCD Spectra

Fang-Xiang Wu, Anthony J. Kusalik, Yan Yan, 2014, IEEE Transactions on NanoBioscience.

Fang-Xiang Wu, Jianxin Wang, Lan Huang, 2020, Briefings in bioinformatics.

A Disease Inference Method Based on Symptom Extraction and Bidirectional Long Short Term Memory networks.

Yaohang Li, Fang-Xiang Wu, Guihua Duan, 2020, Methods.

Analysis of Single-Cell RNA-seq Data by Clustering Approaches

Hong-Dong Li, Fang-Xiang Wu, Xiaoshu Zhu, 2019, Current Bioinformatics.

Quality Assessment of Tandem Mass Spectra by Using a Weighted K-Means

Jiarui Ding, Fang-Xiang Wu, Jin-Hong Shi, 2009, Clinical Proteomics.

A novel approach to denoising ion trap tandem mass spectra

Jiarui Ding, Fang-Xiang Wu, G. Poirier, 2009, Proteome Science.

Clustering PPI data by combining FA and SHC method

Fang-Xiang Wu, Xiu-juan Lei, Chao Ying, 2015, BMC Genomics.

Prediction of CircRNA-Disease Associations Using KATZ Model Based on Heterogeneous Networks

Fang-Xiang Wu, Xiu-juan Lei, Chunyan Fan, 2018, International journal of biological sciences.

Essential protein discovery based on a combination of modularity and conservatism.

Xueyong Li, Fang-Xiang Wu, Bi-hai Zhao, 2016, Methods.

Applications of Random Walk Model on Biological Networks

Fang-Xiang Wu, Jianxin Wang, W. Peng, 2016 .

Prioritizing Disease Genes by Using Search Engine Algorithm

Fang-Xiang Wu, Jianxin Wang, Min Li, 2016 .

Identifying disease genes by integrating multiple data sources

Fang-Xiang Wu, Jianxin Wang, Min Li, 2014, BMC Medical Genomics.

M-matrix-based stability conditions for genetic regulatory networks with time-varying delays and noise perturbations.

Fang-Xiang Wu, Zhong-ke Shi, Li-Ping Tian, 2013, IET systems biology.

Prediction of lncRNA–disease associations based on inductive matrix completion

Yi Pan, Yaohang Li, Feng Luo, 2018, Bioinform..

Domain control of nonlinear networked systems and applications to complex disease networks

Fang-Xiang Wu, Xiufen Zou, Suoqin Jin, 2017 .

Prediction of disease-related genes based on weighted tissue-specific networks by using DNA methylation

Fang-Xiang Wu, Min Li, Jianxin Wang, 2014, BMC Medical Genomics.

Protein Inference by Assembling Peptides Identified from Tandem Mass Spectra

Fang-Xiang Wu, Jinhong Shi, Fang-Xiang Wu, 2009 .

Identifying Protein Complexes Based on Multiple Topological Structures in PPI Networks

Fang-Xiang Wu, Bolin Chen, 2013, IEEE Transactions on NanoBioscience.

Identifying protein complexes in protein–protein interaction networks by using clique seeds and graph entropy

Fang-Xiang Wu, Shenggui Zhang, Jin-Hong Shi, 2013, Proteomics.

Double-layer clustering method to predict protein complexes based on power-law distribution and protein sublocalization.

Fang-Xiang Wu, Jun Huan, Xiaoqing Peng, 2016, Journal of theoretical biology.

Identifying Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks

Yi Pan, Fang-Xiang Wu, Min Li, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Deep belief network–Based Matrix Factorization Model for MicroRNA-Disease Associations Prediction

Fang-Xiang Wu, Xiu-juan Lei, B. Liao, 2020, Evolutionary bioinformatics online.

D3GRN: a data driven dynamic network construction method to infer gene regulatory networks

Fang-Xiang Wu, Jianxin Wang, Min Li, 2019, BMC Genomics.

Parameter estimation method for improper fractional models and its application to molecular biological systems

Fang-Xiang Wu, Li-Ping Tian, Li-Zhi Liu, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Stability Analysis of Genetic Regulatory Networks with Multiple Time Delays

Fang-Xiang Wu, Fang-Xiang Wu, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An adaptive approach to denoising tandem mass spectra

Jiarui Ding, Wen-Jun Zhang, Fang-Xiang Wu, 2010, BIBM Workshops.

VAliBS: a visual aligner for bisulfite sequences

Yi Pan, Ping Huang, Fang-Xiang Wu, 2017, BMC Bioinformatics.

Predicting drug-target interaction based on sequence and structure information

Fang-Xiang Wu, Jianxin Wang, Min Li, 2015 .

Identification of Pseudo-Periodic Gene Expression Profiles

Fang-Xiang Wu, Li-Ping Tian, Li-Zhi Liu, 2011 .

Proceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011: Preface

Yi Pan, Xiaohua Hu, Stephen T. C. Wong, 2011, IEEE International Conference on Bioinformatics and Biomedicine.

A Framework of De Novo Peptide Sequencing for Multiple Tandem Mass Spectra

Fang-Xiang Wu, A. Kusalik, Yan Yan, 2015, IEEE Transactions on NanoBioscience.

De novo peptide sequencing using CID and HCD spectra pairs

Fang-Xiang Wu, A. Kusalik, Yan Yan, 2016, Proteomics.

NTD-DR: Nonnegative tensor decomposition for drug repositioning

Fang-Xiang Wu, A. Kusalik, A. Jamali, 2022, PloS one.

Proteomic analysis of novel targets associated with TrkA-mediated tyrosine phosphorylation signaling pathways in SK-N-MC neuroblastoma cells

M. Dunn, H. Ressom, Fang-Xiang Wu, 2013, Proteomics.

Structural bioinformatics Protein–protein interaction site prediction through combining local and global features with deep neural networks

Yaohang Li, Fang-Xiang Wu, Jianxin Wang, 2020 .

Disease gene identification by using graph kernels and Markov random fields

Fang-Xiang Wu, Jianxin Wang, Min Li, 2014, Science China Life Sciences.

Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks

Fang-Xiang Wu, Xiu-juan Lei, Yuchen Zhang, 2022, Frontiers in Pharmacology.

Detecting protein complexes from active protein interaction networks constructed with dynamic gene expression profiles

Fang-Xiang Wu, Jianxin Wang, Qianghua Xiao, 2013, Proteome Science.

Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines

Yaohang Li, Fang-Xiang Wu, Min Li, 2018, ICIC.

FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers

Fang-Xiang Wu, Min Li, Jinyan Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A topological AUC-based biomarker ensemble method for the complex disease analysis

Xingyi Li, Fang-Xiang Wu, Min Li, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Constrained target controllability of complex networks

Fei Liu, Tao Zeng, Jingsong Zhang, 2017 .

ABC and IFC: Modules Detection Method for PPI Network

Xiujuan Lei, Fang-Xiang Wu, Jie Zhao, 2014, BioMed research international.

Guest Editorial: Special Focus on Bioinformatics and Systems Biology

Fang-Xiang Wu, Jun Huan, Jun Huan, 2011, TCBB.

Improving protein function prediction using domain and protein complexes in PPI networks

Lu Chen, Fang-Xiang Wu, Jianxin Wang, 2014, BMC Systems Biology.

Complexity Analysis and Parameter Estimation of Dynamic Metabolic Systems

Li-Ping Tian, Fang-Xiang Wu, Zhong-Ke Shi, 2013, Comput. Math. Methods Medicine.

A review on machine learning principles for multi-view biological data integration

Alioune Ngom, Fang-Xiang Wu, Yifeng Li, 2016, Briefings Bioinform..

CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2015, Biosyst..

Computational Approaches for Transcriptome Assembly Based on Sequencing Technologies

Fang-Xiang Wu, Jianxin Wang, Xingyu Liao, 2020, Current Bioinformatics.

Current challenges and solutions of de novo assembly

Yi Pan, Jianxin Wang, Fang-Xiang Wu, 2019, Quantitative Biology.

Inference of gene regulatory subnetworks from time course gene expression data

Li-Wei Zhang, Zhonghang Xia, Xijun Liang, 2012, BMC Bioinformatics.

A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets

Fang-Xiang Wu, Li-Zhi Liu, Wen-Jun Zhang, 2014, BMC Systems Biology.

Finding Community of Brain Networks Based on Neighbor Index and DPSO with Dynamic Crossover

Fang-Xiang Wu, Junhong Feng, Jie Zhang, 2020, Current Bioinformatics.

Finding Community Modules of Brain Networks Based on PSO with Uniform Design

Fang-Xiang Wu, Bo Liao, Lingkai Tang, 2019, BioMed research international.

Fang-Xiang Wu, Xiaoqing Peng, Xingyu Liao, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Hybrid Clustering Algorithm for Identifying Cell Types from Single-Cell RNA-Seq Data

Xiaoshu Zhu, Fang-Xiang Wu, Jianxin Wang, 2019, Genes.

Control principles for complex biological networks

Fang-Xiang Wu, Jianxin Wang, Min Li, 2018, Briefings Bioinform..

ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network

Yi Pan, Gang Chen, Fang-Xiang Wu, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2019, Bioinform..

Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC

Xiujuan Lei, Fang-Xiang Wu, Jie Zhao, 2017, Complex..

Identifying protein complexes in dynamic protein-protein interaction networks based on Cuckoo Search algorithm

Jie Zhao, Xiujuan Lei, Fang-Xiang Wu, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks

Witold Pedrycz, Fei Wang, Xiujuan Lei, 2016, Inf. Sci..

Identifying disease genes from PPI networks weighted by gene expression under different conditions

Ping Luo, Li-Ping Tian, Fang-Xiang Wu, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Identifying Individual-Cancer-Related Genes by Rebalancing the Training Samples

Fang-Xiang Wu, Jianxin Wang, Bolin Chen, 2016, IEEE Transactions on NanoBioscience.

A two-step logistic regression algorithm for identifying individual-cancer-related genes

Min Li, Jianxin Wang, Bolin Chen, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Computational Approaches for Prioritizing Candidate Disease Genes Based on PPI Networks

Wei Lan, Min Li, Fang-Xiang Wu, 2015 .

A fast and high performance multiple data integration algorithm for identifying human disease genes

Fang-Xiang Wu, Jianxin Wang, Bolin Chen, 2015, BMC Medical Genomics.

A logistic regression based algorithm for identifying human disease genes

Fang-Xiang Wu, Jianxin Wang, Bolin Chen, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Prediction of disease genes using tissue-specified gene-gene network

Fang-Xiang Wu, Jianxin Wang, Min Li, 2014, BMC Systems Biology.

Identification of Hierarchical and Overlapping Functional Modules in PPI Networks

Fang-Xiang Wu, Jianxin Wang, Min Li, 2012, IEEE Transactions on NanoBioscience.

Identifying protein complexes and functional modules - from static PPI networks to dynamic PPI networks

Fang-Xiang Wu, Juan Liu, Bolin Chen, 2014, Briefings Bioinform..

An Improved Graph Entropy-based Method for Identifying Protein Complexes

Shenggui Zhang, Fang-Xiang Wu, Bolin Chen, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

EMDS: predicting essential miRNAs based on deep learning and sequences

Fang-Xiang Wu, Guihua Duan, Cheng Yan, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Enhancing the prediction of disease-gene associations with multimodal deep learning

Ping Luo, Li-Ping Tian, Fang-Xiang Wu, 2019, Bioinform..

DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding

Fang-Xiang Wu, Min Zeng, Min Li, 2021, bioRxiv.

Identifying cell types from single-cell data based on similarities and dissimilarities between cells

Fang-Xiang Wu, Ping Luo, Yuanyuan Li, 2021, BMC Bioinformatics.

A data-driven clustering recommendation method for single-cell RNA-sequencing data

Fang-Xiang Wu, Ruiqing Zheng, Zhenlan Liang, 2021 .

SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement

Yu Tian, Fang-Xiang Wu, Min Li, 2020, bioRxiv.

A sensitive repeat identification framework based on short and long reads

Xin Gao, Fang-Xiang Wu, Jianxin Wang, 2021, Nucleic acids research.

Discovering biological patterns from short time-series gene expression profiles with integrating PPI data

Fang-Xiang Wu, Bolin Chen, Weiwei Fan, 2014, Neurocomputing.

Genetic weighted k-means algorithm for clustering large-scale gene expression data

Fang-Xiang Wu, Fang-Xiang Wu, 2008, BMC Bioinformatics.

Determination of the minimum sample size in microarray experiments to cluster genes using k-means clustering

Fang-Xiang Wu, Wenjun Chris Zhang, Anthony J. Kusalik, 2003, Third IEEE Symposium on Bioinformatics and Bioengineering, 2003. Proceedings..

Integrating Omic Data with a Multiplex Network-based Approach for the Identification of Cancer Subtypes.

Huiru Zheng, Haiying Wang, Fang-Xiang Wu, 2016, IEEE transactions on nanobioscience.

Integrating Omics Data With a Multiplex Network-Based Approach for the Identification of Cancer Subtypes

Huiru Zheng, Haiying Wang, Fang-Xiang Wu, 2016, IEEE Transactions on NanoBioscience.

Biomolecular Network Controllability With Drug Binding Information

Fang-Xiang Wu, Min Li, Lingkai Tang, 2017, IEEE Transactions on NanoBioscience.

Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks

Fang-Xiang Wu, Anthony J. Kusalik, Gopalan Selvaraj, 2009, EURASIP J. Bioinform. Syst. Biol..

Human Protein Complex Signatures for Drug Repositioning

Xiujuan Lei, Fang-Xiang Wu, Fei Wang, 2019, BCB.

A review of drug repositioning based chemical-induced cell line expression data.

Fei Wang, Xiujuan Lei, Fang-Xiang Wu, 2019, Current medicinal chemistry.

UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics

Fang-Xiang Wu, Xiaoqing Peng, Jianxin Wang, 2020, Briefings Bioinform..

MADA: a web service for analysing DNA methylation array data

Li Tang, Fang-Xiang Wu, Min Li, 2020, BMC Bioinformatics.

DNRLMF-MDA:Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases

Yi Pan, Wei Lan, Fang-Xiang Wu, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities

Yi Pan, Wei Lan, Fang-Xiang Wu, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Machine learning approaches for predicting biomolecule-disease associations.

Fang-Xiang Wu, Xiu-juan Lei, B. Liao, 2021, Briefings in functional genomics.

Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits

Fang-Xiang Wu, Juan Liu, Xinghuo Ye, 2013, BMC Systems Biology.

Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning

Yi Pan, Wei Lan, Fang-Xiang Wu, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sprites: detection of deletions from sequencing data by re-aligning split reads

Yi Pan, Jun Wang, Zhen Zhang, 2016, Bioinform..

A Novel Core‐Attachment–Based Method to Identify Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks

Ping Luo, Fang-Xiang Wu, Min Li, 2019, Proteomics.

PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks

Xiang Chen, Yaohang Li, Fang-Xiang Wu, 2018, ISBRA.

A novel method of gene regulatory network structure inference from gene knock-out expression data

Yaohang Li, Min Li, Fang-Xiang Wu, 2019, Tsinghua Science and Technology.

SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning.

Yaohang Li, Yiming Li, Fuhao Zhang, 2020, Methods.

LDAP: a web server for lncRNA‐disease association prediction

Yi Pan, Jin Liu, Wei Lan, 2016, Bioinform..

Variational graph auto-encoders for miRNA-disease association prediction.

Xiujuan Lei, Li-Ping Tian, Fang-Xiang Wu, 2020, Methods.

Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks

Fang-Xiang Wu, Min Zeng, Min Li, 2020, Bioinform..

Identifying Cancer-Specific circRNA–RBP Binding Sites Based on Deep Learning

Xiujuan Lei, Fang-Xiang Wu, Zhengfeng Wang, 2019, Molecules.

Prioritizing human disease genes by multiple data integration

Fang-Xiang Wu, Jianxin Wang, Bolin Chen, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Computational approaches to predicting essential proteins: A survey

Fang-Xiang Wu, Wei Peng, Jianxin Wang, 2013, Proteomics. Clinical applications.

VAliBS: a visual aligner for bisulfite sequences

Fang-Xiang Wu, Jianxin Wang, Min Li, 2017, BMC Bioinformatics.

Dynamic miRNA-TF-mRNA circuits in mouse lung development

Fang-Xiang Wu, Juan Liu, Xinghuo Ye, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

MAC: Merging Assemblies by Using Adjacency Algebraic Model and Classification

Yi Pan, Min Li, Fang-Xiang Wu, 2020, Frontiers in Genetics.

A survey on predicting microbe-disease associations: biological data and computational methods

Jianxin Wang, Fang-Xiang Wu, Guihua Duan, 2020, Briefings Bioinform..

DeepEP: a deep learning framework for identifying essential proteins

Min Li, Fang-Xiang Wu, Yaohang Li, 2019, BMC Bioinformatics.

Predicting Gene-Disease Associations with Manifold Learning

Ping Luo, Li-Ping Tian, Fang-Xiang Wu, 2018, ISBRA.

Gene Regulatory Network modelling: a state-space approach

Fang-Xiang Wu, Fang-Xiang Wu, 2008, Int. J. Data Min. Bioinform..

Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks

Xiaohua Hu, Fang-Xiang Wu, Xiaohua Hu, 2007, BMC Bioinformatics.

Determination of the minimum number of microarray experiments for discovery of gene expression patterns

Fang-Xiang Wu, Wenjun Chris Zhang, Anthony J. Kusalik, 2006, BMC Bioinformatics.

On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns

Fang-Xiang Wu, Wenjun Chris Zhang, Anthony J. Kusalik, 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

Modeling Gene Expression from Microarray Expression Data with State-Space Equations

Fang-Xiang Wu, Wenjun Chris Zhang, Anthony J. Kusalik, 2003, Pacific Symposium on Biocomputing.

Protein-protein interaction site prediction through combining local and global features with deep neural networks

Min Li, Jianxin Wang, Min Zeng, 2019, Bioinform..

Essential Protein Prediction Based on node2vec and XGBoost

Fang-Xiang Wu, Min Zeng, Min Li, 2021, J. Comput. Biol..

A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information

Yi Pan, Yaohang Li, Min Li, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Detecting Protein Complexes Based on Uncertain Graph Model

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Dynamic protein interaction network construction and applications

Fang-Xiang Wu, Xiaoqing Peng, Wei Peng, 2014, Proteomics.

Proteoform characterization based on top-down mass spectrometry

Jianxin Wang, Fang-Xiang Wu, Wei Peng, 2020, Briefings Bioinform..

Global and Robust Stability Analysis of Genetic Regulatory Networks With Time-Varying Delays and Parameter Uncertainties

Fang-Xiang Wu, Fang-Xiang Wu, 2011, IEEE Transactions on Biomedical Circuits and Systems.

Prioritizing Cancer Genes Based on an Improved Random Walk Method

Fang-Xiang Wu, Chun-Hou Zheng, Yansen Su, 2020, Frontiers in Genetics.

De novo assembly methods for next generation sequencing data

Yiming He, Fang-Xiang Wu, Jianxin Wang, 2013 .

ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization

Fang-Xiang Wu, Yuhua Yao, Wen Zhu, 2020, IEEE Access.

CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases

Xiujuan Lei, Fang-Xiang Wu, Chunyan Fan, 2018, Database J. Biol. Databases Curation.

Peptide identification based on fuzzy classification and clustering

A. Link, Fang-Xiang Wu, Liping Pang, 2013, Proteome Science.

DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis

Fang-Xiang Wu, Xingyi Li, Min Li, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Mining the plasma-proteome associated genes in patients with gastro-esophageal cancers for biomarker discovery

Frederick S. Vizeacoumar, F. Vizeacoumar, Fang-Xiang Wu, 2021, Scientific Reports.

C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2016, Biosyst..

Stability and Bifurcation of Ring-Structured Genetic Regulatory Networks With Time Delays

Fang-Xiang Wu, Fang-Xiang Wu, 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

MGT-SM: A Method for Constructing Cellular Signal Transduction Networks

Yaohang Li, Fang-Xiang Wu, Jianxin Wang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Estimation of parameters in rational reaction rates of molecular biological systems via weighted least squares

Lei Mu, Fang-Xiang Wu, Zhong-Ke Shi, 2010, Int. J. Syst. Sci..

Predicting drug-target interaction using positive-unlabeled learning

Yi Pan, Yaohang Li, Jin Liu, 2016, Neurocomputing.

Unifying protein inference and peptide identification with feedback to update consistency between peptides

Bolin Chen, Jinhong Shi, Fang-Xiang Wu, 2013, Proteomics.

A feedback framework for protein inference with peptides identified from tandem mass spectra

Fang-Xiang Wu, Jinhong Shi, Fang-Xiang Wu, 2012, Proteome Science.

Deep learning for brain disorder diagnosis based on fMRI images

Wutao Yin, Longhai Li, Fang-Xiang Wu, 2020, Neurocomputing.

Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning

Fang-Xiang Wu, Sakib Mostafa, Wutao Yin, 2020, J. Comput. Biol..

Optimally-connected Hidden Markov Models for Predicting Mhc-binding Peptides

Fang-Xiang Wu, Anthony J. Kusalik, Mikelis G. Bickis, 2006, J. Bioinform. Comput. Biol..

Schizophrenia Identification Using Multi-View Graph Measures of Functional Brain Networks

Jin Liu, Jianxin Wang, Fang-Xiang Wu, 2020, Frontiers in Bioengineering and Biotechnology.

Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey

Yi Pan, Jianxin Wang, Fang-Xiang Wu, 2017, Complex..

Classification of Schizophrenia Based on Individual Hierarchical Brain Networks Constructed From Structural MRI Images

Yi Pan, Fang-Xiang Wu, Min Li, 2017, IEEE Transactions on NanoBioscience.

Alzheimer’s Disease Classification Based on Individual Hierarchical Networks Constructed With 3-D Texture Features

Bin Hu, Jianxin Wang, Yi Pan, 2017, IEEE Transactions on NanoBioscience.

Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks

Yi Pan, Qing Liu, Fang-Xiang Wu, 2012, BMC Systems Biology.

IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning

Jianxin Wang, Fang-Xiang Wu, Guihua Duan, 2019, BMC Bioinformatics.

scASK: A novel ensemble framework for classifying cell types based on single-cell RNA-seq data

Bo Liu, Fang-Xiang Wu, Xiufen Zou, 2020, bioRxiv.

Genome-wide prediction and integrative functional characterization of Alzheimer’s disease-associated genes

Hong-Dong Li, B. Hu, Fang-Xiang Wu, 2021, bioRxiv.

Delay-Independent Stability of Genetic Regulatory Networks with Time Delays

Fang-Xiang Wu, Fang-Xiang Wu, 2009, Adv. Complex Syst..

BRWMDA:Predicting Microbe-Disease Associations Based on Similarities and Bi-Random Walk on Disease and Microbe Networks

Yi Pan, Guihua Duan, Jianxin Wang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning

Yi Pan, Fang-Xiang Wu, Guihua Duan, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels

Yi Pan, Jianxin Wang, Fang-Xiang Wu, 2019, BMC Bioinformatics.

IDNDDI: An Integrated Drug Similarity Network Method for Predicting Drug-Drug Interactions

Yi Pan, Jianxin Wang, Fang-Xiang Wu, 2019, ISBRA.

Subspace pursuit for gene profile classificaiton

Wei Dai, Fang-Xiang Wu, Xiyi Hang, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

L1 Least Square for Cancer Diagnosis using Gene Expression Data

Fang-Xiang Wu, Xiyi Hang, X. Hang, 2009 .

Sparse Representation for Classification of Tumors Using Gene Expression Data

Fang-Xiang Wu, Xiyi Hang, X. Hang, 2009, Journal of biomedicine & biotechnology.

Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data

Ping Luo, Li-Ping Tian, Fang-Xiang Wu, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

RepAHR: an improved approach for de novo repeat identification by assembly of the high-frequency reads

Jianxin Wang, Xingyu Liao, Xiankai Zhang, 2020, BMC Bioinformatics.

PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations

Xiujuan Lei, Fang-Xiang Wu, Luonan Chen, 2018, International journal of molecular sciences.

An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines

Yi Pan, Xiang Chen, Min Li, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Biomedical data and computational models for drug repositioning: a comprehensive review

Yaohang Li, Jianxin Wang, Min Li, 2020, Briefings Bioinform..

Prognosticating Outcome in Pancreatic Head Cancer With the use of a Machine Learning Algorithm

Fang-Xiang Wu, Yigang Luo, R. Khan, 2021, Technology in cancer research & treatment.

deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks

Xiujuan Lei, Ping Luo, Fang-Xiang Wu, 2019, Front. Genet..

Improving Alzheimer's Disease Classification by Combining Multiple Measures

Yi Pan, Zhenjun Tang, Jin Liu, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network

Yi Pan, Wei Lan, Fang-Xiang Wu, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

GATCDA: Predicting circRNA-Disease Associations Based on Graph Attention Network

Fang-Xiang Wu, Xiu-juan Lei, Chen Bian, 2021, Cancers.

Predicting novel CircRNA-disease associations based on random walk and logistic regression model

Xiujuan Lei, Fang-Xiang Wu, Bolin Chen, 2020, Comput. Biol. Chem..

Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning Techniques

Wen Zhu, Fang-Xiang Wu, B. Liao, 2021, Frontiers in Oncology.

Biomedical data, computational methods and tools for evaluating disease-disease associations

Fang-Xiang Wu, Ju Xiang, Yichao Zhao, 2022, Briefings Bioinform..

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2016, Bioinform..

Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification

Yi Pan, Jin Liu, Jianxin Wang, 2020, Neurocomputing.

Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data

Zhen Zhang, Fang-Xiang Wu, Min Li, 2014, ISBRA.

Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information.

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2018, Journal of theoretical biology.

CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis

Lin Wu, Fang-Xiang Wu, Jianxin Wang, 2018, Bioinform..

Dynamic Model-based Clustering for Time-course Gene Expression Data

Fang-Xiang Wu, Wenjun Chris Zhang, Anthony J. Kusalik, 2005, J. Bioinform. Comput. Biol..

Inference of Biological S-System Using the Separable Estimation Method and the Genetic Algorithm

Fang-Xiang Wu, Wenjun Chris Zhang, Li-Zhi Liu, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Applications of graph theory in protein structure identification

Yan Yan, Shenggui Zhang, Fang-Xiang Wu, 2011, Proteome Science.

Detecting functional modules in dynamic protein-protein interaction networks using Markov Clustering and Firefly Algorithm

Fei Wang, Xiujuan Lei, Aidong Zhang, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data

Li-Wei Zhang, Zhonghang Xia, Xijun Liang, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure

Fang-Xiang Wu, Ju Xiang, Yichao Zhao, 2022, Briefings Bioinform..

Predicting disease‐associated genes: Computational methods, databases, and evaluations

Bolin Chen, Fang-Xiang Wu, Ping Luo, 2020, WIREs Data Mining Knowl. Discov..

STATE-SPACE MODEL WITH TIME DELAYS FOR GENE REGULATORY NETWORKS

Fang-Xiang Wu, Anthony Kusalik, Wen-Jun Zhang, 2004 .

Network Output Controllability-Based Method for Drug Target Identification

Lin Wu, Fang-Xiang Wu, Min Li, 2015, IEEE Transactions on NanoBioscience.

Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease

Lukasz Kurgan, Jianxin Wang, Fang-Xiang Wu, 2020, Medical Image Anal..

SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control

Min Li, Fang-Xiang Wu, Hao Gao, 2020, ISBRA.

Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation

Jianxin Wang, Fang-Xiang Wu, Liangliang Liu, 2019, Neurocomputing.

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF

Fang-Xiang Wu, Xianlai Chen, Ying An, 2022, Artif. Intell. Medicine.

MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion

Yi Pan, Fang-Xiang Wu, Guihua Duan, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Estimation of control Energy and control Strategies for Complex Networks

Fang-Xiang Wu, Xiufen Zou, Dingjie Wang, 2015, Adv. Complex Syst..

Predicting essential proteins based on subcellular localization, orthology and PPI networks

Fang-Xiang Wu, Jianxin Wang, Min Li, 2016, BMC Bioinformatics.

Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks

Long Cheng, Min Tan, Fang-Xiang Wu, 2011, IEEE Transactions on Neural Networks.

Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks

Sakib Mostafa, Fang-Xiang Wu, Lingkai Tang, 2019, IEEE Access.

A dynamic predictor selection algorithm for predicting stock market movement

Haodong Wang, Jianxin Wang, Fang-Xiang Wu, 2021, Expert Syst. Appl..

Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach

Long Cheng, Min Tan, Fang-Xiang Wu, 2008, 2008 IEEE International Conference on Automation Science and Engineering.

WIREs Data Mining and Knowledge Discovery Reverse engineering of GRNs from biological data mRNA X mRNA Y Protein X Protein Y Transcription Translation DNA Gene X Gene Y mRNA Protein Replication

Fang-Xiang Wu, Wenjun Chris Zhang, Li-Zhi Liu, 2012 .

iOPTICS-GSO for identifying protein complexes from dynamic PPI networks

A. Zhang, Fang-Xiang Wu, Xiu-juan Lei, 2017, BMC Medical Genomics.

Detecting protein complexes from DPINs by OPTICS based on particle swarm optimization

Xiujuan Lei, Huan Li, Fang-Xiang Wu, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

DWNN-RLS: regularized least squares method for predicting circRNA-disease associations

Fang-Xiang Wu, Jianxin Wang, Cheng Yan, 2018, BMC Bioinformatics.

Identifying essential proteins from active PPI networks constructed with dynamic gene expression

Yi Pan, Xiaoqing Peng, Qianghua Xiao, 2015, BMC Genomics.

Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations

Min Li, Jianxin Wang, Min Zeng, 2020, IEEE Journal of Biomedical and Health Informatics.

SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures

Yi Pan, Wei Lan, Fang-Xiang Wu, 2017, Complex..

PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences

Fang-Xiang Wu, Jianxin Wang, Guihua Duan, 2020, BMC Bioinformatics.

Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks

Hongyu Guo, Sakib Mostafa, Wutao Yin, 2020, ISBRA.

Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks

Fang-Xiang Wu, Ju Xiang, Wenkai Li, 2022, IEEE Transactions on Network Science and Engineering.

Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network

Yi Pan, Yaohang Li, Min Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

NetEPD: A network-based essential protein discovery platform

Lukasz Kurgan, Wenkai Li, Min Zeng, 2020 .

Rechecking the Centrality-Lethality Rule in the Scope of Protein Subcellular Localization Interaction Networks

Yi Pan, Petter Holme, Fang-Xiang Wu, 2015, PloS one.

Discovering essential proteins based on PPI network and protein complex

Jun Ren, Fang-Xiang Wu, Jianxin Wang, 2015, Int. J. Data Min. Bioinform..

A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Integrated design and PD Control of high-speed closed-loop mechanisms

Fang-Xiang Wu, Wen-Jun Zhang, P. R. Ouyang, 2002 .

Identification of Essential Proteins by Using Complexes and Interaction Network

Yi Pan, Fang-Xiang Wu, Yu Lu, 2014, ISBRA.

Alternating weighted least squares parameter estimation for biological S-systems

Fang-Xiang Wu, Li-Zhi Liu, Wen-Jun Zhang, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

United Complex Centrality for Identification of Essential Proteins from PPI Networks

Fang-Xiang Wu, Yu Lu, Min Li, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Prediction of Essential Proteins Based on Overlapping Essential Modules

Yi Pan, Min Li, Bihai Zhao, 2014, IEEE Transactions on NanoBioscience.

Symmetry Compression Method for Discovering Network Motifs

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Machine learning and deep learning strategies in drug repositioning

Fang-Xiang Wu, Xiu-juan Lei, B. Liao, 2021, Current Bioinformatics.

Machine learning based liver disease diagnosis: A systematic review

Rayyan Azam Khan, Fang-Xiang Wu, Yigang Luo, 2021, Neurocomputing.

Feature Selection for Tandem Mass Spectrum Quality Assessment via Sparse Logistical Regression

Fang-Xiang Wu, Jiarui Ding, Jiarui Ding, 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

Quality assessment of tandem mass spectra using support vector machine (SVM)

Fang-Xiang Wu, An-Min Zou, Jiarui Ding, 2009, BMC Bioinformatics.

Charge State Determination of Peptide Tandem Mass Spectra Using Support Vector Machine (SVM)

Fang-Xiang Wu, An-Min Zou, Jin-Hong Shi, 2008, IEEE Transactions on Information Technology in Biomedicine.

Feature Selection for Tandem Mass Spectrum Quality Assessment

Fang-Xiang Wu, An-Min Zou, Jin-Hong Shi, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

An approach to assessing peptide mass spectral quality without prior information

Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier, 2008, Int. J. Funct. Informatics Pers. Medicine.

Quality assessment of peptide tandem mass spectra

Fang-Xiang Wu, Arnaud Droit, Pierre Gagné, 2006, First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06).

RT-PSM, a real-time program for peptide-spectrum matching with statistical significance.

Fang-Xiang Wu, Arnaud Droit, Fang-Xiang Wu, 2006, Rapid communications in mass spectrometry : RCM.

NovoExD: De novo Peptide Sequencing for ETD/ECD Spectra

Fang-Xiang Wu, Yan Yan, Anthony J. Kusalik, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

NovoPair: De novo peptide sequencing for tandem mass spectra pair

Fang-Xiang Wu, Yan Yan, Anthony J. Kusalik, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

NovoGMET: De Novo Peptide Sequencing Using Graphs with Multiple Edge Types (GMET) for ETD/ECD Spectra

Fang-Xiang Wu, Yan Yan, Anthony J. Kusalik, 2014, ISBRA.

A multi-edge graph based de novo peptide sequencing method for HCD spectra

Fang-Xiang Wu, Yan Yan, Anthony J. Kusalik, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Detecting Significantly Expressed Genes from Their Time-Course Expression Profiles and Its Validation

Fang-Xiang Wu, Fang-Xiang Wu, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Significance Analysis of Time-Course Gene Expression Profiles

Fang-Xiang Wu, Fang-Xiang Wu, 2007, ISBRA.

Dynamic-Model-Based Method for Selecting Significantly Expressed Genes From Time-Course Expression Profiles

Fang-Xiang Wu, Wenjun Chris Zhang, Fang-Xiang Wu, 2010, IEEE Transactions on Information Technology in Biomedicine.

Finding Significantly Expressed genes from time-course expression profiles

Lei Mu, Zhonghang Xia, Fang-Xiang Wu, 2009, Int. J. Bioinform. Res. Appl..

A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data

Yi Pan, Yaohang Li, Fang-Xiang Wu, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Proteomic analysis of novel targets associated with TrkA-mediated tyrosine phosphorylation signaling pathways in SK-N-MC neuroblastoma cells

M. Dunn, H. Ressom, Fang-Xiang Wu, 2013, Proteomics.

KAICD: A knowledge attention-based deep learning framework for automatic ICD coding

Min Li, Fang-Xiang Wu, Min Zeng, 2020, Neurocomputing.

MDIPA: a microRNA-drug interaction prediction approach based on non-negative matrix factorization

Fang-Xiang Wu, Anthony Kusalik, Ali Akbar Jamali, 2020, Bioinform..

Detecting protein complex based on hierarchical compressing network embedding

Fang-Xiang Wu, Min Li, Xiangmao Meng, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Protein complex detection based on flower pollination mechanism in multi-relation reconstructed dynamic protein networks

Fang-Xiang Wu, Xiu-juan Lei, Ming Fang, 2019, BMC Bioinformatics.

DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization

Yi Pan, Jie Yang, Fang-Xiang Wu, 2018, Bioinform..

Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN

Ying Yu, Fang-Xiang Wu, Jianxin Wang, 2019, J. Biomed. Informatics.

Parallel computing for genome sequence processing

Yaohang Li, Fang-Xiang Wu, Jianxin Wang, 2021, Briefings Bioinform..

PreOBP_ML: Machine Learning Algorithms for Prediction of Optical Biosensor Parameters

Fang-Xiang Wu, F. M. Bui, Kawsar Ahmed, 2023, Micromachines.

Controllability and Its Applications to Biological Networks

Fang-Xiang Wu, Jianxin Wang, Min Li, 2019, Journal of Computer Science and Technology.

Feature Selection via Swarm Intelligence for Determining Protein Essentiality

Xiujuan Lei, Yuhui Shi, Fang-Xiang Wu, 2018, Molecules.

A posterior probability based Bayesian method for single-cell RNA-seq data imputation.

Fang-Xiang Wu, Ruiqing Zheng, Siqi Chen, 2023, Methods.

Protein Inference from the Integration of Tandem MS Data and Interactome Networks

Yi Pan, Zhen Zhang, Fang-Xiang Wu, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An unsupervised machine learning method for assessing quality of tandem mass spectra

Fang-Xiang Wu, Jianxin Wang, Wen-Jun Zhang, 2012, Proteome Science.

Features-Based Deisotoping Method for Tandem Mass Spectra

Fang-Xiang Wu, Bolin Chen, Zheng Yuan, 2012, Adv. Bioinformatics.

A Framework for Mass Spectral Quality Assessment without Prior Information

Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

DoRC: Discovery of rare cells from ultra-large scRNA-seq data

Fang-Xiang Wu, Min Li, Jin Chen, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence

Lin Wu, Fang-Xiang Wu, Hui-Sheng Zhang, 2014, IEEE Transactions on Neural Networks and Learning Systems.

BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks

Yi Pan, Xiang Chen, Fang-Xiang Wu, 2018, Bioinform..

AIMAFE: Autism spectrum disorder identification with multi-atlas deep feature representation and ensemble learning

Jin Liu, Jianxin Wang, Fang-Xiang Wu, 2020, Journal of Neuroscience Methods.

Reverse engineering of gene regulatory networks from biological data

Fang-Xiang Wu, W. Zhang, Li-Zhi Liu, 2012, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

PECC: Correcting contigs based on paired-end read distribution

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2017, Comput. Biol. Chem..

Improving de novo Assembly Based on Read Classification

Yi Pan, Feng Luo, Fang-Xiang Wu, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

SCOP: a novel scaffolding algorithm based on contig classification and optimization

Yi Pan, Li Tang, Fang-Xiang Wu, 2018, Bioinform..

MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

BOSS: a novel scaffolding algorithm based on an optimized scaffold graph

Fang-Xiang Wu, Jianxin Wang, Min Li, 2017, Bioinform..

EPGA2: memory-efficient de novo assembler

Min Li, Fang-Xiang Wu, Yi Pan, 2015, Bioinform..

EPGA: de novo assembly using the distributions of reads and insert size

Yi Pan, Zhen Zhang, Fang-Xiang Wu, 2015, Bioinform..

Nonlinear-Model-Based Analysis Methods for Time-Course Gene Expression Data

Li-Ping Tian, Fang-Xiang Wu, Li-Zhi Liu, 2014, TheScientificWorldJournal.

Nonlinear Model-Based Method for Clustering Periodically Expressed Genes

Li-Ping Tian, Fang-Xiang Wu, Li-Zhi Liu, 2011, TheScientificWorldJournal.

Notice of RetractionParameter Estimation Method for Periodical Gene Identification

Fang-Xiang Wu, Li-Ping Tian, Li-Zhi Liu, 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.

Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities

Xiaofeng Zhu, Jianxin Wang, Fang-Xiang Wu, 2020, Neurocomputing.

Distribution of Triatomines, the Vector of Chagas Disease — Southern China, 2016−2018

Xiaonong Zhou, Fang-Xiang Wu, Yi Zhang, 2020, China CDC weekly.

RepAHR: an improved approach for de novo repeat identification by assembly of the high-frequency reads

Xin Gao, Fang-Xiang Wu, Jianxin Wang, 2020, BMC Bioinform..

Structure identification and parameter estimation of biological s-systems

Fang-Xiang Wu, Wenjun Chris Zhang, Li-Zhi Liu, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

HyMM: Hybrid method for disease-gene prediction by integrating multiscale module structures

Fang-Xiang Wu, Ju Xiang, Xiangmao Meng, 2021, bioRxiv.

Ensemble disease gene prediction by clinical sample-based networks

Ping Luo, Li-Ping Tian, Bolin Chen, 2020, BMC Bioinformatics.

Construction of Uncertain Protein-Protein Interaction Networks and Its Applications

Yi Pan, Fang-Xiang Wu, Jianxin Wang, 2013, ISBRA.

DWNN-RLS: regularized least squares method for predicting circRNA-disease associations

Fang-Xiang Wu, Cheng Yan, Jianxin Wang, 2018, BMC Bioinformatics.

PDMDA: predicting deep-level miRNA-disease associations with graph neural networks and sequence features

Fang-Xiang Wu, Jianxin Wang, N. Li, 2022, Bioinform..

PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences

Jianxin Wang, Fang-Xiang Wu, Guihua Duan, 2020, BMC Bioinformatics.

Relating Diseases Based on Disease Module Theory

Yaohang Li, Fang-Xiang Wu, Jianxin Wang, 2017, ISBRA.

The MSS of complex networks with centrality based preference and its application to biomolecular networks

Lin Wu, Fang-Xiang Wu, Jianxin Wang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Drug Target Identification Based on Structural Output Controllability of Complex Networks

Lin Wu, Fang-Xiang Wu, Min Li, 2014, ISBRA.

Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study

Michael K. Ng, Xiaohua Hu, Fang-Xiang Wu, 2009, IEEE Transactions on Information Technology in Biomedicine.

A genetic algorithm for inferring time delays in gene regulatory networks

Fang-Xiang Wu, Wenjun Chris Zhang, Anthony J. Kusalik, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

State-space model for gene regulatory networks with time delays

Fang-Xiang Wu, W. Zhang, A. Kusalik, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks

Fang-Xiang Wu, Jianxin Wang, Min Li, 2015, Biosyst..

IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation

Jianxin Wang, Fang-Xiang Wu, Zhimin Zhang, 2020, Bioinform..

Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data

Fang-Xiang Wu, Jianxin Wang, Xingyi Li, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Disease gene identification by using graph kernels and Markov random fields

Fang-Xiang Wu, Min Li, BoLin Chen, 2014, Science China Life Sciences.

MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning

Jianxin Wang, Fang-Xiang Wu, Mingming Lu, 2020, Clust. Comput..

Predicting Disease Genes from Clinical Single Sample-Based PPI Networks

Ping Luo, Li-Ping Tian, Fang-Xiang Wu, 2018, IWBBIO.

Drug and disease similarity calculation platform for drug repositioning

Fang-Xiang Wu, Jianxin Wang, Lan Huang, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Computational approaches to predicting essential proteins: A survey

Fang-Xiang Wu, Jianxin Wang, Wei Peng, 2013, Proteomics. Clinical applications.

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

Fang-Xiang Wu, Jianxin Wang, Min Li, 2016, Bioinform..

Delay-Independent Stability of Genetic Regulatory Networks

Fang-Xiang Wu, Fang-Xiang Wu, 2011, IEEE Transactions on Neural Networks.

A Hybrid Clustering Algorithm for Identifying Cell Types from Single-Cell RNA-Seq Data

Hong-Dong Li, Fang-Xiang Wu, Guihua Duan, 2019, Genes.

Peptide identification based on fuzzy classification and clustering

Hongwei Zhang, Zhonghang Xia, Xijun Liang, 2013, Proteome Science.

A fuzzy cluster-based algorithm for peptide identification

Zhonghang Xia, Xijun Liang, Fang-Xiang Wu, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron

Na Li, Jianxin Wang, Fang-Xiang Wu, 2020, ISBRA.

An improved peptide-spectral matching algorithm through distributed search over multiple cores and multiple CPUs

Fang-Xiang Wu, Bolin Chen, Jian Sun, 2014, Proteome Science.

Properties of sparse penalties on inferring gene regulatory networks from time-course gene expression data.

Fang-Xiang Wu, Li-Zhi Liu, Wen-Jun Zhang, 2015, IET systems biology.