Fang-Xiang Wu

发表

Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder

Sakib Mostafa, Wutao Yin, Fang-Xiang Wu, 2019, ICCABS.

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

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

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

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

A network clustering based feature selection strategy for classifying autism spectrum disorder

Sakib Mostafa, Fang-Xiang Wu, Bo Liao, 2019, BMC Medical Genomics.

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

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

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..

Ensemble disease gene prediction by clinical sample-based networks

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

A survey on U-shaped networks in medical image segmentations

Jianxin Wang, Fang-Xiang Wu, Yu-Ping Wang, 2020, Neurocomputing.

Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks

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

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

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

NetEPD: A network-based essential protein discovery platform

Lukasz Kurgan, Wenkai Li, Min Zeng, 2020 .

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

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

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

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

MADA: a web service for analysing DNA methylation array data

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

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.

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

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

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

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

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

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

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

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

Overlap matrix completion for predicting drug-associated indications

Yaohang Li, Jianxin Wang, Fang-Xiang Wu, 2019, PLoS Comput. Biol..

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

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

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.

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

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

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

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

DeepEP: a deep learning framework for identifying essential proteins

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

CSA: a web service for the complete process of ChIP-Seq analysis

Li Tang, Yi Pan, Jianxin Wang, 2019, BMC Bioinformatics.

Improving de novo Assembly Based on Read Classification

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

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.

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

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

Current challenges and solutions of de novo assembly

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

Proteoform characterization based on top-down mass spectrometry

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

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.

MAC: Merging Assemblies by Using Adjacency Algebraic Model and Classification

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

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

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

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..

A hybrid approach of support vector machines with logistic regression for β-turn prediction

Jianxin Wang, Fang-Xiang Wu, Murtada Khalafallah Elbashir, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

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).

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

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

EPGA2: memory-efficient de novo assembler

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

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

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

Prioritizing Cancer Genes Based on an Improved Random Walk Method

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

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

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

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

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

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).

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

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

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

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

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

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

A genetic algorithm for inferring time delays in gene regulatory networks

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

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

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

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.