Xuequn Shang

发表

Multiphasic and Dynamic Changes in Alternative Splicing during Induction of Pluripotency Are Coordinated by Numerous RNA-Binding Proteins.

B. Cieply, Juw Won Park, Angela Nakauka-Ddamba, 2016, Cell reports.

Predicting disease-related genes using integrated biomedical networks

Xuequn Shang, Jiajie Peng, Yadong Wang, 2017, BMC Genomics.

A deep grouping fusion neural network for multimedia content understanding

Xuequn Shang, J. Liu, Zhanhuai Li, 2022, IET Image Processing.

Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks

Xuequn Shang, Zhanhuai Li, Yang Guo, 2018, BMC Medical Genomics.

Detecting small attractors of large Boolean networks by function-reduction-based strategy.

Xuequn Shang, Qiben Zheng, L. Shen, 2016, IET systems biology.

Identifying consistent disease subnetworks using DNet.

Jiajie Peng, Xuequn Shang, Junya Lu, 2017, Methods.

An online tool for measuring and visualizing phenotype similarities using HPO

Xuequn Shang, Jiajie Peng, Yadong Wang, 2018, BMC Genomics.

A novel method to measure the semantic similarity of HPO terms

Jiajie Peng, Xuequn Shang, Hansheng Xue, 2017 .

Identifying Emerging Phenomenon in Plant Long Temporal Phenotyping Experiments

Ayesha S. Dina, Xuequn Shang, Jiajie Peng, 2018 .

Subpathway Analysis based on Signaling-Pathway Impact Analysis of Signaling Pathway

Xuequn Shang, Wenbin Liu, Xuequn Shang, 2015, PloS one.

A novel algorithm for alignment of multiple PPI networks based on simulated annealing

Xuequn Shang, Jialu Hu, Junhao He, 2019, BMC Genomics.

Predicting Stage-Specific Recurrent Aberrations From Somatic Copy Number Dataset

Xuequn Shang, Bolin Chen, Chaima Aouiche, 2020, Frontiers in Genetics.

Mining Frequent Correlated-Quasi-Cliques from PPI Networks

Xuequn Shang, Xiao-gang Lei, Miao Wang, 2010, 2010 WASE International Conference on Information Engineering.

Efficient Mining Differential Co-Expression Constant Row Bicluster in Real-Valued Gene Expression Datasets

Xuequn Shang, Zhanhuai Li, Wenbin Liu, 2013 .

Identification of Colon Cancer-Related RNAs Based on Heterogeneous Networks and Random Walk

Xuequn Shang, Bolin Chen, Shengli Zhang, 2022, Biology.

Identifying Non-Math Students from Brain MRIs with an Ensemble Classifier Based on Subspace-Enhanced Contrastive Learning

Xuequn Shang, Jiajie Peng, Yupei Zhang, 2022, Brain sciences.

Using expression quantitative trait loci data and graph-embedded neural networks to uncover genotype–phenotype interactions

Xuequn Shang, Yafei Song, Shuaichen Liu, 2022, Frontiers in Genetics.

A novel method to measure the semantic similarity of HPO terms

Yadong Wang, Jin Chen, Jiajie Peng, 2017, Int. J. Data Min. Bioinform..

MRCluster: Mining Constant Row Bicluster in Gene Expression Data

Xuequn Shang, Miao Wang, Miao Miao, 2011 .

Investigating the evolution process of lung adenocarcinoma via random walk and dynamic network analysis

Shenmin Zhang, Xuequn Shang, Bolin Chen, 2022, Frontiers in Genetics.

Identifying term relations cross different gene ontology categories

Yadong Wang, Honggang Wang, Jiajie Peng, 2017, BMC Bioinformatics.

Hypergraph-based Gene Ontology Embedding for Disease Gene Prediction

Xuequn Shang, Tao Wang, Jiajie Peng, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Mining Maximal Dense Subgraphs in Uncertain PPI Network

Xuequn Shang, Miao Wang, Jia Cai Liu, 2011 .

Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

Xuequn Shang, Jiajie Peng, Xiaoyu Wang, 2018, bioRxiv.

A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network

Xuequn Shang, Xingyi Li, Ju Xiang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction

Bo Yang, Xuequn Shang, Xueqing Zhao, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes

Bo Yang, Shuhui Liu, Xuequn Shang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy

Bolin Chen, Xuequn Shang, Samer Abdulateef, 2020, Inf..

Graphs Regularized Robust Matrix Factorization and Its Application on Student Grade Prediction

Xuequn Shang, Yupei Zhang, Yue Yun, 2020, Applied Sciences.

A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder

Xuequn Shang, Naseer Ahmed Khan, Atif Riaz, 2020, Brain sciences.

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).

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.

Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity

Xuequn Shang, Jialu Hu, Pan Zhang, 2022, Stem cell research & therapy.

A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data

Yang Liu, Yabo Chen, Xuequn Shang, 2019, BMC Systems Biology.

Copy number variation related disease genes

Bolin Chen, Xuequn Shang, Chaima Aouiche, 2018, Quantitative Biology.

ImReLnc: Identifying Immune-Related LncRNA Characteristics in Human Cancers Based on Heuristic Correlation Optimization

Xuequn Shang, Yang Qi, Xinpeng Guo, 2022, Frontiers in genetics.

Dietary Restriction and Rapamycin Affect Brain Aging in Mice by Attenuating Age-Related DNA Methylation Changes

Xuequn Shang, Xiangru Xu, Yang Qi, 2022, Genes.

IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information

Xuequn Shang, Xinpeng Guo, Yanli Lu, 2020, ADMA.

A versatile and scalable single-cell data integration algorithm based on domain-adversarial and variational approximation

Xuequn Shang, Jialu Hu, Yuanke Zhong, 2021, Briefings Bioinform..

Deep learning enables accurate alignment of single cell RNA-seq data

Yan Zheng, Xuequn Shang, Jialu Hu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep generative autoencoder for low-dimensional embeding extraction from single-cell RNAseq data

Xuequn Shang, Shiquan Sun, Yang Liu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep Learning Enables Accurate Prediction of Interplay Between lncRNA and Disease

Xuequn Shang, Jialu Hu, Jing Li, 2019, Front. Genet..

A novel method for predicting cell abundance based on single-cell RNA-seq data

Xuequn Shang, Jiajie Peng, Lu Han, 2021, BMC Bioinformatics.

Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies

Xuequn Shang, Mengjie Chen, Evan T. Keller, 2020, Nature Communications.

Determination of a Comprehensive Alternative Splicing Regulatory Network and Combinatorial Regulation by Key Factors during the Epithelial-to-Mesenchymal Transition

Yi Xing, Yang Guo, Claude C. Warzecha, 2016, Molecular and Cellular Biology.

Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation

Xuequn Shang, Jiajie Peng, Jin Chen, 2021, Briefings Bioinform..

Identifying emerging phenomenon in long temporal phenotyping experiments

Jiajie Peng, Xuequn Shang, Jin Chen, 2019, Bioinform..

Efficient and scalable integration of single-cell data using domain-adversarial and variational approximation

Xuequn Shang, Jialu Hu, Yuanke Zhong, 2021, bioRxiv.

A learning-based framework for miRNA-disease association identification using neural networks

Jianye Hao, Bolin Chen, Jiajie Peng, 2018, bioRxiv.

BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data

Yang Guo, Xuequn Shang, Zhanhuai Li, 2018, BMC Bioinformatics.

Integrating Multiple Datasets to Discover Stage-Specific Cancer Related Genes and Stage-Specific Pathways

Bolin Chen, Xuequn Shang, Chaima Aouiche, 2019, IWBBIO.

A novel algorithm based on bi-random walks to identify disease-related lncRNAs

Yan Zheng, Xuequn Shang, Jialu Hu, 2019, BMC Bioinformatics.

Identification of lncRNA-disease association using bi-random walks

Xuequn Shang, Jialu Hu, Yiqun Gao, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Identifying Disease Related Genes by Network Representation and Convolutional Neural Network

Xuequn Shang, Shenggui Zhang, Bolin Chen, 2021, Frontiers in Cell and Developmental Biology.

Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks

Yang Guo, Xuequn Shang, Zhanhuai Li, 2018, BMC Medical Genomics.

Yang Guo, Zhanhuai Li, Xuequn Shang, 2018, Genes.

Identification and Analysis of Genes Involved in Stages of Colon Cancer

Bolin Chen, Xuequn Shang, Teng Wang, 2020, ICIC.

R-CRISPR: A Deep Learning Network to Predict Off-Target Activities with Mismatch, Insertion and Deletion in CRISPR-Cas9 System

Xuequn Shang, Jiajie Peng, Zhipeng Zhang, 2021, Genes.

Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO

Jiajie Peng, Xuequn Shang, Hansheng Xue, 2019, BMC Systems Biology.

Investigations on factors influencing HPO-based semantic similarity calculation

Xuequn Shang, Jiajie Peng, Qianqian Li, 2017, J. Biomed. Semant..

Analyzing factors involved in the HPO-based semantic similarity calculation

Bolin Chen, Jiajie Peng, Xuequn Shang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Predicting disease-related genes using integrated biomedical networks

Xuequn Shang, Jiajie Peng, Yadong Wang, 2017, BMC Genomics.

Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach

Shuhui Liu, Jiajie Peng, Xuequn Shang, 2018, BMC Systems Biology.

An online tool for measuring and visualizing phenotype similarities using HPO

Xuequn Shang, Jiajie Peng, Yadong Wang, 2018, BMC Genomics.

Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder

Jiajie Peng, Xuequn Shang, Jiaojiao Guan, 2019, Front. Genet..

Measuring phenotype-phenotype similarity through the interactome

Jiajie Peng, Xuequn Shang, Weiwei Hui, 2017, BMC Bioinformatics.

KF-finder: identification of key factors from host-microbial networks in cervical cancer

Yan Zheng, Xuequn Shang, Jialu Hu, 2018, BMC Syst. Biol..

Identifying term relations cross different gene ontology categories

Xuequn Shang, Jiajie Peng, Yadong Wang, 2017, BMC Bioinformatics.

Detection of Network Motif Based on a Novel Graph Canonization Algorithm from Transcriptional Regulation Networks

Xuequn Shang, Jialu Hu, Xuequn Shang, 2017, Molecules.

Measuring phenotype semantic similarity using Human Phenotype Ontology

Yadong Wang, Jin Chen, Jiajie Peng, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Identification of protein complexes and functional modules in integrated PPI networks

Yang Guo, Zhanhuai Li, Xuequn Shang, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction

Jianye Hao, Jiajie Peng, Zhongyu Wei, 2021, Briefings Bioinform..

An improved hierarchical variational autoencoder for cell-cell communication estimation using single-cell RNA-seq data.

Xuequn Shang, Jiajie Peng, Yupei Zhang, 2023, Briefings in functional genomics.

ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes

Xuequn Shang, Zhaolei Zhang, Yupei Zhang, 2021, Briefings Bioinform..

MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites

Jie Liu, Yan Zheng, Xuequn Shang, 2019, BMC Bioinformatics.

Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees.

E. Shapiro, J. Shendure, R. Srinivasan, 2021, Cell systems.

Identifying colon cancer stage related genes and their cellular pathways

Xuequn Shang, A. K. Saha, Bolin Chen, 2023, Frontiers in Genetics.

A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extraction

Jianye Hao, Xuequn Shang, Jiajie Peng, 2021, bioRxiv.

TSGOE: A web tool for tissue-specific gene ontology enrichment

Tao Wang, Jiajie Peng, Xuequn Shang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MiteFinderII: a novel tool to identify miniature inverted-repeat transposable elements hidden in eukaryotic genomes

Xuequn Shang, Jialu Hu, Yan Zheng, 2018, BMC Medical Genomics.

A novel subnetwork representation learning method for uncovering disease-disease relationships.

Xuequn Shang, Jiajie Peng, Jiaojiao Guan, 2020, Methods.

LCM-DS: A novel approach of predicting drug-drug interactions for new drugs via Dempster-Shafer theory of evidence

Siu-Ming Yiu, Ke Gao, Jianyu Shi, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary

Bolin Chen, Xuequn Shang, Samer Abdulateef, 2020, Inf..

Supplementary document of “ A learning-based framework for miRNA-disease association identification using neural networks ”

Jianye Hao, Xuequn Shang, Jiajie Peng, 2019 .

Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information

Xuequn Shang, Tao Wang, Jiajie Peng, 2023, Briefings Bioinform..

CircRNA-Disease Association Prediction based on Heterogeneous Graph Representation

Xuequn Shang, Yuhe Zhang, Xinmeng Liu, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model

zheng y, Y Zhong, J Hu, 2020, BMC Bioinformatics.

A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data

Yang Guo, Xuequn Shang, Yang Qi, 2020, BMC Bioinformatics.

Efficient Mining Frequent Closed Discriminative Biclusters by Sample-Growth: The FDCluster Approach

Shaohua Zhang, Miao Wang, Zhanhuai Li, 2010, Int. J. Knowl. Discov. Bioinform..

Markov Guided Spatio-Temporal Networks for Brain Image Classification*

Xuequn Shang, Yunan Xu, Yupei Zhang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MiteFinderII: a novel tool to identify miniature inverted-repeat transposable elements hidden in eukaryotic genomes

Xuequn Shang, Jialu Hu, Yan Zheng, 2018, BMC Medical Genomics.

Deciphering the Efficacy and Mechanism of Astragalus membranaceus on High Altitude Polycythemia by Integrating Network Pharmacology and In Vivo Experiments

Xuequn Shang, J. Li, Jialu Hu, 2022, Nutrients.

WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy Labels

Xuequn Shang, Min Xiao, Yupei Zhang, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Topic Modeling and Sentiment Analysis of Online Education in the COVID-19 Era Using Social Networks Based Datasets

Samer Abdulateef Waheeb, Xuequn Shang, Naseer Ahmed Khan, 2022, Electronics.

AN EFFICIENT SENTIMENT ANALYSIS BASED DEEP LEARNING CLASSIFICATION MODEL TO EVALUATE TREATMENT QUALITY

Samer Abdulateef Waheeb, Xuequn Shang, Naseer Ahmed Khan, 2022, Malaysian Journal of Computer Science.

Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis

Xuequn Shang, Yupei Zhang, Yue Yun, 2021, Frontiers in Psychology.

Doubly contrastive representation learning for federated image recognition

Xuequn Shang, Yunan Xu, Yupei Zhang, 2023, Pattern Recognit..

Comprehensive analyses of correlation and survival reveal informative lncRNA prognostic signatures in colon cancer

Yang Guo, Xuequn Shang, Meihong Gao, 2021, World Journal of Surgical Oncology.

Deep learning‐based classification and mutation prediction from histopathological images of hepatocellular carcinoma

Xuequn Shang, Jiajie Peng, Kefei Yuan, 2020, Clinical and translational medicine.

Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations

Xuequn Shang, Yuxian Wang, Tao Wang, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Integrating multi-network topology for gene function prediction using deep neural networks

Jiajie Peng, Xuequn Shang, Hansheng Xue, 2019, bioRxiv.

Linking genotype to phenotype in multi-omics data of small sample

Xuequn Shang, Yafei Song, Yang Qi, 2021, BMC genomics.

A deep cross-modal neural cognitive diagnosis framework for modeling student performance

Xuequn Shang, J. Liu, Lingyun Song, 2023, Expert Syst. Appl..

SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data

Xuequn Shang, Yan Zheng, 2023, BMC Bioinformatics.

SQL based frequent pattern mining

Xuequn Shang, Xuequn Shang, 2005 .

A Novel Knowledge Distillation-Based Feature Selection for the Classification of ADHD

Samer Abdulateef Waheeb, Xuequn Shang, A. Riaz, 2021, Biomolecules.

Imbalanced Node Classification Beyond Homophilic Assumption

Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin, 2023, ArXiv.

A network-based method for brain disease gene prediction by integrating brain connectome and molecular network

Xuequn Shang, Tao Wang, Jiajie Peng, 2021, Briefings Bioinform..

Predicting Chromosome Flexibility from the Genomic Sequence Based on Deep Learning Neural Networks

Xuequn Shang, Kelin Xia, Haiyin Piao, 2021, Current Bioinformatics.

Identification of associations between lncRNA and drug resistance based on deep learning and attention mechanism

Xuequn Shang, Meihong Gao, 2023, Frontiers in Microbiology.

A Survey of Network Representation Learning Methods for Link Prediction in Biological Network.

Xuequn Shang, Jiajie Peng, Guilin Lu, 2020, Current pharmaceutical design.

Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks

Xuequn Shang, Yupei Zhang, Shuhui Liu, 2023, IEEE Transactions on Big Data.

Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets

Xuequn Shang, Bolin Chen, Yu Wang, 2016, Science China Information Sciences.

GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA-PCG associations

Xuequn Shang, Yang Qi, Xinpeng Guo, 2022, Briefings Bioinform..

Identifying functional evolution processes according to the pathological stages of colorectal cancer

Manting Yang, Xuequn Shang, Bolin Chen, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep Feature Learning of Multi-Network Topology for Node Classification pdf

Jiajie Peng, Xuequn Shang, Hansheng Xue, 2018, ArXiv.

Personalized Federated Contrastive Learning

Xuequn Shang, Yunan Xu, Yupei Zhang, 2022, 2022 IEEE International Conference on Big Data (Big Data).

A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification

Xuequn Shang, Yunan Xu, Yupei Zhang, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Graph-regularized federated learning with shareable side information

Xuequn Shang, Yunan Xu, Yupei Zhang, 2022, Knowl. Based Syst..

Linking genotype to phenotype in multi-omics data of small sample

Xuequn Shang, Yafei Song, Yang Qi, 2021, BMC Genomics.

GLassonet: Identifying Discriminative Gene Sets among Molecular Subtypes of Breast Cancer.

Xuequn Shang, Yupei Zhang, Shuhui Liu, 2022, IEEE/ACM transactions on computational biology and bioinformatics.

Shuhui Liu, Xuequn Shang, Xuequn Shang, 2018, ISBRA.

Sequential Pattern Mining for Protein Function Prediction

Miao Wang, Zhanhuai Li, Xuequn Shang, 2008, ADMA.

Multi-instance discriminative contrastive learning for brain image representation

Xuequn Shang, Yupei Zhang, Shuhui Liu, 2022, Neural Computing and Applications.

Online Deep Knowledge Tracing

Xuequn Shang, Yupei Zhang, Shuhui Liu, 2022, 2022 IEEE International Conference on Data Mining Workshops (ICDMW).

An MRI Study on Effects of Math Education on Brain Development Using Multi-Instance Contrastive Learning

Xuequn Shang, Yupei Zhang, Shuhui Liu, 2021, Frontiers in Psychology.

DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification

Xuequn Shang, Jiajie Peng, Yupei Zhang, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks

Xuequn Shang, Yupei Zhang, Rui An, 2021, LAK.

Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis

Andrew S. Lan, Xuequn Shang, Yue Yun, 2020, Knowl. Based Syst..

An Effective Chinese Text Classification Method with Contextualized Weak Supervision for Review Autograding

Xuequn Shang, Min Xiao, Yupei Zhang, 2022, ICIC.

Constrained query of order-preserving submatrix in gene expression data

Tao Jiang, Zhanhuai Li, Bolin Chen, 2016, Frontiers of Computer Science.

SVsearcher: A more accurate structural variation detection method in long read data

Xuequn Shang, W. Sung, Yan Zheng, 2023, Comput. Biol. Medicine.

Benchmarked approaches for cell lineage reconstructions of in vitro dividing cells and in 1 silico models of Caenorhabditis elegans and Mus musculus developmental trees

E. Shapiro, J. Shendure, R. Srinivasan, 2021 .

BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

Xuequn Shang, Hongzhi Yin, J. Liu, 2023, ArXiv.

A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network

Xuequn Shang, Jiajie Peng, Jingyi Li, 2020, BMC Bioinformatics.

A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data

K. Reinert, Xuequn Shang, Fashuai Wu, 2023, Bioinform..

SQL based frequent pattern mining without candidate generation

Kai-Uwe Sattler, Ingolf Geist, Xuequn Shang, 2004, SAC '04.

SQL Based Frequent Pattern Mining with FP-Growth

Kai-Uwe Sattler, Ingolf Geist, Xuequn Shang, 2004, INAP/WLP.

Weakly Supervised Group Mask Network for Object Detection

Xuequn Shang, Jun Liu, Mingxuan Sun, 2020, International Journal of Computer Vision.

Discovering eQTL Regulatory Patterns Through eQTLMotif

Xuequn Shang, Tao Wang, Jiajie Peng, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Mining High-Correlation Association Rules for Inferring Gene Regulation Networks

Zhanhuai Li, Qian Zhao, Xuequn Shang, 2009, DaWaK.

Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection

Xuequn Shang, Jie Liu, Lingyun Song, 2022, COLING.

Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis

Jiajie Peng, Jinjin Yang, Kelin Xia, 2018, bioRxiv.

Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing

Xuequn Shang, Lingyun Song, Mingxuan Sun, 2023, IEEE Transactions on Multimedia.

Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding

Xuequn Shang, Lingyun Song, Guangtao Wang, 2022, Neural Networks.

Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies

Xuequn Shang, Ying Ma, Mengjie Chen, 2020, Nature Communications.

Identifying Differentially Expressed Genes Based on Differentially Expressed Edges

Bolin Chen, Li Gao, Xuequn Shang, 2019, ICIC.

A Machine Learning Based Method to Identify Differentially Expressed Genes

Li Gao, Bolin Chen, Xuequn Shang, 2020, ICIC.

TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology

Tao Wang, Jiajie Peng, Xuequn Shang, 2019, BMC Bioinformatics.

SEPA: Signalling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data.

Xuequn Shang, Xingyi Li, Ju Xiang, 2022, Bioinformatics.

SCC: An accurate modification method for scRNA-seq dropouts based on mixture model

Xuequn Shang, Jialu Hu, Yan Zheng, 2020 .

A deconvolution method for predicting cell abundance based on single cell RNA-seq data

Xuequn Shang, Jiajie Peng, Lu Han, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A two-way rectification method for identifying differentially expressed genes by maximizing the co-function relationship

Xuequn Shang, Bolin Chen, Li Gao, 2021, BMC Genomics.

A Flexible and Comprehensive Platform for Analyzing Gene Expression Data

Li Gao, Bolin Chen, Xuequn Shang, 2019, IDMB.

Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer

Yang Guo, Zhanhuai Li, Xuequn Shang, 2019, Neurocomputing.

Net2Image: A Network Representation Method for Identifying Cancer-Related Genes

Bolin Chen, Xuequn Shang, Yuqiong Jin, 2017, ISBRA.

Towards Gene Function Prediction via Multi-Networks Representation Learning

Jiajie Peng, Xuequn Shang, Hansheng Xue, 2019, AAAI.

Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

Xiaoyu Wang, Jiajie Peng, Xuequn Shang, 2018, BMC Bioinformatics.

BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data

Yang Guo, Zhanhuai Li, Shuhui Liu, 2018, BMC Bioinformatics.

Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis

Andrew S. Lan, Xuequn Shang, Yupei Zhang, 2020, Knowl. Based Syst..

Identification of lncRNA-related protein-coding genes using multi-omics data based on deep learning and matrix completion

Xuequn Shang, Meihong Gao, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Investigations on factors influencing HPO-based semantic similarity calculation

Jiajie Peng, Xuequn Shang, Qianqian Li, 2017, Journal of Biomedical Semantics.

Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets

Yu Wang, Bolin Chen, Xuequn Shang, 2016, Science China Information Sciences.

An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence

Jian-Yu Shi, Siu-Ming Yiu, Shao-Wu Zhang, 2018, Scientific Reports.

Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis

Xuequn Shang, Kelin Xia, D. Vijay Anand, 2021, Frontiers of Computer Science.

Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks

Jie Liu, Jing Li, Xuequn Shang, 2020, BMC Bioinformatics.

Using Direct and Indirect Neighbours to Predict Protein Function in GO-Evaluated PPI Data Set

Miao Wang, Xuequn Shang, Shaohua Zhang, 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.

Mining Maximal Frequent Dense Subgraphs without Candidate Maintenance in PPI Networks

Miao Wang, Xuequn Shang, Zhanhuai Li, 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.

Mining Frequent Dense Subgraphs based on Extending Vertices from Unbalanced PPI Networks

Xuequn Shang, Zhanhuai Li, Xuequn Shang, 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

WebNetCoffee: a web-based application to identify functionally conserved proteins from Multiple PPI networks

Yan Zheng, Xuequn Shang, Jialu Hu, 2018, BMC Bioinformatics.

Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets

Bolin Chen, Xuequn Shang, Chaima Aouiche, 2019, BMC Bioinformatics.

A learning-based framework for miRNA-disease association identification using neural networks

Xuequn Shang, Jiajie Peng, Zhongyu Wei, 2019, Bioinform..

A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data

Yang Guo, Yang Qi, Huixin Jiao, 2020, BMC Bioinformatics.

VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space

Xuequn Shang, Yupei Zhang, Yue Yun, 2021, 2021 IEEE International Conference on Big Data (Big Data).