Xuequn Shang

发表

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.

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.

SQL Based Frequent Pattern Mining with FP-Growth

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

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

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

MSPattern: Efficient mining maximal subspace differential co-expression patterns in microarray datasets

Zhanhuai Li, Miao Wang, Miao Miao, 2011, 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

A Machine Learning Based Method to Identify Differentially Expressed Genes

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

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

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

A Flexible and Comprehensive Platform for Analyzing Gene Expression Data

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

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

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

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

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

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).

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

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

Low-Rank Graph Regularized Sparse Coding

Shuhui Liu, Xuequn Shang, Ming Xiang, 2018, PRICAI.

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).

An efficient algorithm to identify the optimal one-bit perturbation based on the basin-of-state size of Boolean networks

Xuequn Shang, Xiangzhen Zan, Liangzhong Shen, 2016, Scientific reports.

Strong Association Rules Mining Without Using Frequent Items for Microarray Analysis

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

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.

Frequent Itemset Mining with Parallel RDBMS

Kai-Uwe Sattler, Xuequn Shang, 2005, PAKDD.

Identifying term relations cross different gene ontology categories

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

Investigations on factors influencing HPO-based semantic similarity calculation

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

Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder

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

Mining functional associated patterns from biological network data

Wei Li, Zhanhuai Li, Xuequn Shang, 2009, SAC '09.

Copy number variation related disease genes

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

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

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

MFCluster: Mining Maximal Fault-Tolerant Constant Row Biclusters in Microarray Dataset

Miao Wang, Wenbin Liu, Zhanhuai Li, 2011, WAIM.

Efficient Frequent Pattern Mining in Relational Databases

Kai-Uwe Sattler, Ingolf Geist, Xuequn Shang, 2004, LWA.

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.

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

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

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

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).

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

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

WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray Dataset

Miao Wang, Zhanhuai Li, Xuequn Shang, 2010, DMIN.

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.

基因表达数据中局部模式的查询 (Local Pattern Query from Gene Expression Data)

Xuequn Shang, Weibang Li, Zhanhuai Li, 2016, 计算机科学.

Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding

Xuequn Shang, Hansheng Xue, Jiying Li, 2019, CIKM.

Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning

Xuequn Shang, Huan Dai, Yue Yun, 2019, EDM.

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

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

Constrained query of order-preserving submatrix in gene expression data

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

NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors

Yan Zheng, Xuequn Shang, Jialu Hu, 2018, ICIC.

Mining High-Correlation Association Rules for Inferring Gene Regulation Networks

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

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.

FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset

Miao Wang, Wenbin Liu, Zhanhuai Li, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

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.

Measuring phenotype semantic similarity using Human Phenotype Ontology

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

FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets

Shaohua Zhang, Miao Wang, Zhanhuai Li, 2010, 2010 IEEE International Conference on Data Mining Workshops.

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

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

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

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).

A New Measure Based on Gene Ontology for Semantic Similarity of Genes

Miao Wang, Xuequn Shang, Shaohua Zhang, 2010, 2010 WASE International Conference on Information Engineering.

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.

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

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

MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements on a genome-wide scale

Yan Zheng, Xuequn Shang, Jialu Hu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Measuring phenotype-phenotype similarity through the interactome

Jiajie Peng, Xuequn Shang, Weiwei Hui, 2017, BIBM.

MFC: Mining Maximal Frequent Dense Subgraphs without Candidate Maintenance in Imbalanced PPI Networks

Miao Wang, Zhanhuai Li, Xuequn Shang, 2011, J. Softw..

Towards Gene Function Prediction via Multi-Networks Representation Learning

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

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

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

Identifying emerging phenomenon in long temporal phenotyping experiments

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

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

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

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).

Revealing the Causes of Dynamic Change in Protein-Protein Interaction Network

Jing Li, Yang Guo, Zhanhuai Li, 2013, 2013 IEEE International Congress on Big Data.

Measuring phenotype-phenotype similarity through the interactome

Jiajie Peng, Xuequn Shang, Weiwei Hui, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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).

A novel method to measure the semantic similarity of HPO terms

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

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

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

Towards the classification of cancer subtypes by using cascade deep forest model in gene expression data

Yang Guo, Zhanhuai Li, Shuhui Liu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Isometric hashing for image retrieval

Bo Yang, Xuequn Shang, Shanmin Pang, 2017, Signal Process. Image Commun..

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.

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

Jianye Hao, Jiajie Peng, Zhongyu Wei, 2020, Briefings in bioinformatics.

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.

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

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

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

Bolin Chen, Qianqian Li, Jiajie Peng, 2018, bioRxiv.

SQL based frequent pattern mining without candidate generation

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

Identifying Differentially Expressed Genes Based on Differentially Expressed Edges

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

Processing Sequential Patterns in Relational Databases

Kai-Uwe Sattler, Xuequn Shang, 2005, DaWaK.

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.

Sequential Pattern Mining for Protein Function Prediction

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

Differential co-expression relative constant row bicluster mining algorithm: Differential co-expression relative constant row bicluster mining algorithm

Xuequn Shang, Miao Wang, Huabo Xie, 2013 .

Depth-first frequent itemset mining in relational databases

Kai-Uwe Sattler, Xuequn Shang, 2005, SAC '05.

Deep Learning Enables Accurate Prediction of Interplay Between lncRNA and Disease

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

A Survey of Frequent Pattern Mining for Biological Datasets

Xuequn Shang, 2007, DMIN.

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.

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

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

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

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

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

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

Identification and Analysis of Genes Involved in Stages of Colon Cancer

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

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

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

Combining Gene Ontology with Deep Neural Networks to Enhance the Clustering of Single Cell RNA-Seq Data

Xiaoyu Wang, Jiajie Peng, Xuequn Shang, 2018 .

SQL based frequent pattern mining

Xuequn Shang, Xuequn Shang, 2005 .

A functional network construction method to interpret the pathological process of colorectal cancer

Tao Jiang, Bolin Chen, Li Gao, 2020, Int. J. Data Min. Bioinform..

Processing Sequential Patterns in Relational Databases

Kai-Uwe Sattler, Xuequn Shang, 2007, J. Data Semant..

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.

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).

An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery

Xuequn Shang, Yupei Zhang, Yue Yun, 2021, PRICAI.

Comment Text Grading for Chinese Graduate Academic Dissertation Using Attention Convolutional Neural Networks

Xuequn Shang, Yupei Zhang, Yaya Zhou, 2021, 2021 7th International Conference on Systems and Informatics (ICSAI).

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

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

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

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

Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection

Xuequn Shang, Yupei Zhang, Yue Yun, 2021, AIED.

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

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

Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks

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

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

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

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

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

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

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

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

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

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.

Identifying consistent disease subnetworks using DNet.

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

Research on Microarray Dataset Mining

Xuequn Shang, Zhanhuai Li, Miao Wang, 2010 .

A novel method to measure the semantic similarity of HPO terms

Jiajie Peng, Xuequn Shang, Hansheng Xue, 2017 .

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

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

Efficient mining differential co-expression biclusters in microarray datasets.

Xuequn Shang, Zhanhuai Li, Wenbin Liu, 2013, Gene.