C. Zheng

发表

Pedestrian detection based on gradient and texture feature integration

Yanwen Chong, Chun-Hou Zheng, Wen-Juan Pei, 2017, Neurocomputing.

Improved sparse representation with low-rank representation for robust face recognition

Jun Zhang, Chun-Hou Zheng, Yi-Fu Hou, 2016, Neurocomputing.

Improved sparse representation based on robust principal component analysis for face recognition

C. Zheng, Wen-Juan Pei, Yi-Fu Hou, 2014, Fifth International Conference on Intelligent Control and Information Processing.

Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach

Junfeng Xia, Chun-Hou Zheng, Di Zhang, 2015, Oncotarget.

Differential Expression Analysis on RNA-Seq Count Data Based on Penalized Matrix Decomposition

J. You, C. Zheng, Jin-Xing Liu, 2014, IEEE Transactions on NanoBioscience.

Robust and Efficient Biomolecular Clustering of Tumor Based on ${p}$ -Norm Singular Value Decomposition

C. Zheng, Mi-Xiao Hou, Jin-Xing Liu, 2017, IEEE Transactions on NanoBioscience.

Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation

Jian Yang, Yan Cui, C. Zheng, 2013, PloS one.

Metasample-Based Robust Sparse Representation for Tumor Classification

C. Zheng, Jin-Xing Liu, Bin Gan, 2013 .

Face Recognition with Multi-Resolution Spectral Feature Images

K. Lam, C. Zheng, Q. Gao, 2013, PloS one.

Compound identification using random projection for gas chromatography–mass spectrometry data

Peng Chen, Jun Zhang, C. Zheng, 2016 .

Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function

C. Zheng, Jin-Xing Liu, Xiangzhen Kong, 2020, Frontiers in Genetics.

ILPMDA: Predicting miRNA–Disease Association Based on Improved Label Propagation

C. Zheng, Yutian Wang, Jiancheng Ni, 2021, Frontiers in Genetics.

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization

C. Zheng, Yansen Su, Yutian Wang, 2021, PLoS Comput. Biol..

C. Zheng, Yutian Wang, Jiancheng Ni, 2021, Frontiers in Cell and Developmental Biology.

An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions

Chun-Hou Zheng, Jin-Xing Liu, Yan Sun, 2015, BioMed research international.

MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

C. Zheng, Pi-Jing Wei, Junfeng Xia, 2019, BMC Medical Genomics.

A Class-information-based SNMF method for selecting characteristic genes

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2014, 2014 8th International Conference on Systems Biology (ISB).

Multi-objective Optimization Method for Identifying Mutated Driver Pathways in Cancer

Yan Zhang, Junfeng Xia, Wu Yang, 2015, ICIC.

Identification of breast cancer candidate genes using gene co-expression and protein-protein interaction information

C. Zheng, Junfeng Xia, Zhenyu Yue, 2016, Oncotarget.

WVMDA: Predicting miRNA–Disease Association Based on Weighted Voting

C. Zheng, Yutian Wang, Lei Li, 2021, Frontiers in Genetics.

Concordance between somatic copy number loss and down-regulated expression: A pan-cancer study of cancer predisposition genes

Min Zhao, C. Zheng, Junfeng Xia, 2016, Scientific Reports.

dbCPG: A web resource for cancer predisposition genes

Yao Yao, Min Zhao, C. Zheng, 2016, Oncotarget.

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, Future Gener. Comput. Syst..

SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints

C. Zheng, Jin-Xing Liu, Juan Wang, 2022, IEEE Journal of Biomedical and Health Informatics.

DeeProPre: A promoter predictor based on deep learning

C. Zheng, Jianping Zhao, Zhiyang Ma, 2022, Comput. Biol. Chem..

Development of cataluminescence sensor system for benzene and toluene determination

C. Zheng, S. Ni, Wen Sha, 2015 .

A portable embedded drug precursor gas detection and identification device based on cataluminescence-based sensor array

C. Zheng, D. Cui, Wen Sha, 2014 .

iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory

C. Zheng, Pi-Jing Wei, Jianping Zhao, 2022, Comput. Methods Programs Biomed..

iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework

C. Zheng, Jianping Zhao, J. Tian, 2022, BMC Bioinformatics.

BMPMDA: Prediction of MiRNA-Disease Associations Using a Space Projection Model Based on Block Matrix

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Predicting miRNA-Disease Association Based on Improved Graph Regression

C. Zheng, Yutian Wang, Jiancheng Ni, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Clustering of cancer data based on Stiefel manifold for multiple views

Jianping Zhao, Jing Tian, Chun-hou Zheng, 2021, BMC Bioinform..

SUSCC: Secondary Construction of Feature Space based on UMAP for Rapid and Accurate Clustering Large-scale Single Cell RNA-seq Data

C. Zheng, Hai-yun Wang, Jian-ping Zhao, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2020, IEEE Transactions on Cybernetics.

ndmaSNF: cancer subtype discovery based on integrative framework assisted by network diffusion model

Chao Yang, Chun-Hou Zheng, Shu-Guang Ge, 2017, Oncotarget.

Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data

Junfeng Xia, Chun-Hou Zheng, Wen Sha, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Srrr-cluster: Using Sparse Reduced-Rank Regression to Optimize iCluster

Junfeng Xia, Chun-Hou Zheng, Shu-Guang Ge, 2016, ICIC.

Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2017, BMC Systems Biology.

Identifying drug-pathway association pairs based on L1L2,1-integrative penalized matrix decomposition

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2017, Oncotarget.

L21-iPaD: An efficient method for drug-pathway association pairs inference

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Protein fold recognition based on sparse representation based classification

Bin Liu, Ke Yan, Xiaozhao Fang, 2017, Artif. Intell. Medicine.

Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data

Jiguo Yu, Yong Xu, Chun-Hou Zheng, 2016, IEEE Transactions on NanoBioscience.

RPCA-Based Tumor Classification Using Gene Expression Data

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Correction: Low-Rank and Eigenface Based Sparse Representation for Face Recognition

Zhan-Li Sun, Chun-Hou Zheng, Yi-Fu Hou, 2014, PLoS ONE.

Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation

Jun Zhang, Chun-Hou Zheng, Bin Gan, 2014, BioMed research international.

Robust PCA based method for discovering differentially expressed genes

Yong Xu, Chun-Hou Zheng, Wen Sha, 2013, BMC Bioinformatics.

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey

Jiguo Yu, Yong Xu, Chun-Hou Zheng, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Tumor Classification Based on Non-Negative Matrix Factorization Using Gene Expression Data

Lei Zhang, Chun-Hou Zheng, To-Yee Ng, 2011, IEEE Transactions on NanoBioscience.

Gene expression data classification based on non-negative matrix factorization

Lei Zhang, Ping Zhang, Chun-Hou Zheng, 2009, 2009 International Joint Conference on Neural Networks.

Gene Expression Data Classification Using Consensus Independent Component Analysis

Xing-Ming Zhao, De-Shuang Huang, Xiangzhen Kong, 2008, Genom. Proteom. Bioinform..

Tumor Classification Using Non-negative Matrix Factorization

Ping Zhang, Chun-Hou Zheng, Bo Li, 2008, ICIC.

Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint

Li Shang, Xiangzhen Kong, Yuqiang Wu, 2007, ICIC.

Feature selection in independent component subspace for microarray data classification

Li Shang, De-Shuang Huang, Chun-Hou Zheng, 2006, Neurocomputing.

Tumor classification based on independent component analysis

Yan Chen, Yixue Li, Yunping Zhu, 2006, Int. J. Pattern Recognit. Artif. Intell..

Differentially expressed genes selection via Laplacian regularized low-rank representation method

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, Comput. Biol. Chem..

scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data

C. Zheng, Hai-yun Wang, Jian-ping Zhao, 2023, Briefings Bioinform..

scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis

C. Zheng, Yansen Su, Hai-yun Wang, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A survey of pattern classification-based methods for predicting survival time of lung cancer patients

Hong-Qiang Wang, Chun-Hou Zheng, Bin Gan, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework

Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data

Jianping Zhao, Hai-yun Wang, Chun-Hou Zheng, 2021, ICIC.

Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis

Ying-Lian Gao, Xiang-Zhen Kong, Cui-Na Jiao, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association

Ming-Wen Zhang, Jian-Cheng Ni, Zhen Gao, 2021, ICIC.

Identification of driver genes based on gene mutational effects and network centrality

Jianping Zhao, Pi-Jing Wei, Chun-Hou Zheng, 2021, BMC Bioinformatics.

A Random Walk Based Cluster Ensemble Approach for Data Integration and Cancer Subtyping

Chao Yang, Chun-Hou Zheng, Yu-Tian Wang, 2019, Genes.

Simulated Annealing Based Algorithm for Identifying Mutated Driver Pathways in Cancer

Hong-Qiang Wang, Chun-Hou Zheng, C. Zheng, 2014, BioMed research international.

Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score

Hong-Bo Wang, Jing Wang, Chun-Hou Zheng, 2019, ICIC.

MGDB: a comprehensive database of genes involved in melanoma

Junfeng Xia, Chun-Hou Zheng, Rongrong Zhu, 2015, Database J. Biol. Databases Curation.

MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association

Zhen Gao, Chunhou Zheng, Qingwen Wu, 2020, Frontiers in Genetics.

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations

Juan Wang, Chun-Hou Zheng, Jin-Xing Liu, 2019, BMC Bioinformatics.

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

Chun-Hou Zheng, Juan Wang, Jin-Xing Liu, 2019, BMC Bioinformatics.

Dual-network sparse graph regularized matrix factorization for predicting miRNA-disease associations.

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2019, Molecular omics.

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder

C. Zheng, Yutian Wang, Jiancheng Ni, 2021, PLoS Comput. Biol..

Graph regularized L2,1-nonnegative matrix factorization for miRNA-disease association prediction

Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, 2020, BMC Bioinformatics.

Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations

Xin Ding, Jing Wang, Chun-Hou Zheng, 2019, ICIC.

An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features

Chun-Hou Zheng, Jin-Xing Liu, Huiyu Li, 2018, ISBRA.

DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes

Junfeng Xia, Chun-Hou Zheng, Haitao Li, 2017, Complex..

Identification of mutated driver pathways in cancer using a multi-objective optimization model

Junfeng Xia, Yanwen Chong, Wu Yang, 2016, Comput. Biol. Medicine.

Identification of driver pathways in cancer based on combinatorial patterns of somatic gene mutations.

C. Zheng, Junfeng Xia, H T Li, 2016, Neoplasma.

Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation

C. Zheng, Junfeng Xia, Yansen Su, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Molecular Pattern Discovery Based on Penalized Matrix Decomposition

Simon C. K. Shiu, Lei Zhang, De-Shuang Huang, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection

Lei Zhang, De-Shuang Huang, Xiangzhen Kong, 2009, IEEE Transactions on Information Technology in Biomedicine.

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis

C. Zheng, Jin-Xing Liu, Xiangzhen Kong, 2022, BMC Bioinformatics.

A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis

Feng Liu, Chun-Hou Zheng, Jin-Xing Liu, 2017, Neurocomputing.

Integrative graph regularized matrix factorization for drug-pathway associations analysis

Juan Wang, Rong Zhu, Chun-Hou Zheng, 2019, Comput. Biol. Chem..

Cancer genes discovery based on integtating transcriptomic data and the impact of gene length

Junfeng Xia, Chun-Hou Zheng, Di Zhang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Differential coexpression analysis in gene modules level and its application to type 2 diabetes

Jun Zhang, Junfeng Xia, Lin Yuan, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

A feature-based approach to predict hot spots in protein-DNA binding interfaces

Junfeng Xia, Le Zhao, Sijia Zhang, 2020, Briefings Bioinform..

Prioritizing Cancer Genes Based on an Improved Random Walk Method

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

jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data

Xing-Ming Zhao, Hong-Qiang Wang, Chun-Hou Zheng, 2015, Bioinform..

Comparison and integration of computational methods for deleterious synonymous mutation prediction

Junfeng Xia, Le Zhao, Chun-Hou Zheng, 2020, Briefings Bioinform..

Discovery of Ovarian Cancer Candidate Genes Using Protein Interaction Information

Junfeng Xia, Chun-Hou Zheng, Rongrong Zhu, 2015, ICIC.

CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions

Junfeng Xia, Junying Zhang, Chun-Hou Zheng, 2016, BMC Bioinformatics.

MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Biology-constrained gene expression discretization for cancer classification

Hong-Qiang Wang, Chun-Hou Zheng, Gao-Jian Jing, 2014, Neurocomputing.

Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data

Jian Yang, Yan Cui, Chun-Hou Zheng, 2013, Comput. Biol. Medicine.

Dimensionality reduction for microarray data using local mean based discriminant analysis

Jian Yang, Chun-Hou Zheng, C. Zheng, 2012, Biotechnology Letters.

Metasample-Based Sparse Representation for Tumor Classification

Simon C. K. Shiu, Lei Zhang, De-Shuang Huang, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Sparse Maximum Margin Discriminant Analysis for Gene Selection

Jian Yang, Yan Cui, Chun-Hou Zheng, 2011, ICIC.

Gene selection using independent variable group analysis for tumor classification

Yanwen Chong, Hong-Qiang Wang, Chun-Hou Zheng, 2011, Neural Computing and Applications.

Constrained Maximum Variance Mapping for Tumor Classification

Juan Wang, Chun-Hou Zheng, Bo Li, 2009, ICIC.

Retention Index System Transformation Method Incorporated Optimal Molecular Descriptors through Particle Swarm Optimization

Jun Zhang, Qingwei Gao, Chun-Hou Zheng, 2012, ICIC.

System Prediction of Drug-Drug Interactions Through the Integration of Drug Phenotypic, Therapeutic, Structural, and Genomic Similarities

Xingxing Yu, Xiaoyu Li, Chun-Hou Zheng, 2016, ICIC.

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features

Chun-Hou Zheng, Jian-Cheng Ni, Yu-Tian Wang, 2021, BMC Medical Informatics and Decision Making.

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest

Chun-Hou Zheng, Jun-Feng Xia, Jian-Cheng Ni, 2021, Briefings Bioinform..

Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association

C. Zheng, Cunmei Ji, Yutian Wang, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Double matrix completion for circRNA-disease association prediction

Chun-Hou Zheng, Jun-Feng Xia, Pi-Jing Wei, 2021, BMC Bioinform..

AEMDA: inferring miRNA-disease associations based on deep autoencoder

Zhen Gao, Jiancheng Ni, Chunhou Zheng, 2020, Bioinform..

CNLLRR: A Novel Low-Rank Representation Method for Single-cell RNA-seq Data Analysis

Hongmin Cai, Chun-Hou Zheng, Ying-Lian Gao, 2019, bioRxiv.

Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data

Chun-Hou Zheng, Juan Wang, Jin-Xing Liu, 2020, Complex..

A cataluminescence sensor system for diethyl ether based on CdO nanostructure

Baohua Zhang, Wen Sha, Chunhou Zheng, 2014 .

A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks

Ran Cheng, Xingyi Zhang, Chun-Hou Zheng, 2021, Inf. Sci..

A p-norm singular value decomposition method for robust tumor clustering

Yao Lu, Xiangzhen Kong, Chun-Hou Zheng, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Joint Lp-Norm and L2,1-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery

C. Zheng, Jin-Xing Liu, Xiangzhen Kong, 2021, Frontiers in Genetics.

Multiple Classification of Plant Leaves Based on Gabor Transform and LBP Operator

Xiaofeng Wang, Chun-Hou Zheng, Feng-Yan Lin, 2008, ICIC.

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

Zhen Ji, Zhu-Hong You, Chun-Hou Zheng, 2014, BMC Bioinformatics.

Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification

Zhilong Lv, Fa Zhang, Xiaosong Rao, 2021, ICIC.

Recognition and counting of wheat mites in wheat fields by a three-step deep learning method

Chun-Hou Zheng, Chengjun Xie, Sijie Yao, 2021, Neurocomputing.

Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2020, IEEE Journal of Biomedical and Health Informatics.

Recognition of Plant Leaves Using Support Vector Machine

Xiaofeng Wang, Chun-Hou Zheng, Feng-Yan Lin, 2008, ICIC.

Locally linear discriminant embedding: An efficient method for face recognition

De-Shuang Huang, Chun-Hou Zheng, Bo Li, 2008, Pattern Recognit..

Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification

Jin-Xing Liu, Ying-Lian Gao, Liang-Rui Ren, 2021, Knowl. Based Syst..

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

Chun-Hou Zheng, Liang-Rui Ren, Ying-Lian Gao, 2020, BMC Bioinform..

Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2012, Comput. Biol. Medicine.

usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme

Chun-Hou Zheng, Na Cheng, Huadong Wang, 2021, Briefings Bioinform..

Computational identification of deleterious synonymous variants in human genomes using a feature-based approach

Yao Yao, C. Zheng, Junfeng Xia, 2019, BMC Medical Genomics.

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

Hongjie Yu, C. Zheng, Zhuhong You, 2014, BMC Bioinformatics.

Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography

Bing Wang, Yi Xia, Chun-Hou Zheng, 2017, Neurocomputing.

A Simple Review of Sparse Principal Components Analysis

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, ICIC.

scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network

C. Zheng, Junfeng Xia, Hai-yun Wang, 2023, Briefings Bioinform..

Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors

C. Zheng, Jin-Xing Liu, Feng Li, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

HGMDA: HyperGraph for Predicting MiRNA-Disease Association

Zhen Gao, Chun-Hou Zheng, Qing-Wen Wu, 2019, ICIC.

MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease Association

Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, 2021, ICIC.

Mining protein Regulatory Relationships Using Neural Network Methods for Early Prediction of SARS

Hailong Zhu, Hong-Qiang Wang, Chun-Hou Zheng, 2009, J. Circuits Syst. Comput..

CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions

Junying Zhang, C. Zheng, Jin-Xing Liu, 2016, BMC Bioinformatics.

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes

Jiguo Yu, Chun-Hou Zheng, Jin-Xing Liu, 2017, Complex..

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data

Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang, 2019, J. Comput. Biol..

LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network

C. Zheng, Pi-Jing Wei, Di Zhang, 2016, BMC Bioinformatics.

Gene differential coexpression analysis based on biweight correlation and maximum clique

Lin Yuan, Zhan-Li Sun, Chun-Hou Zheng, 2014, BMC Bioinformatics.

Predicting miRNA–Disease Associations Through Deep Autoencoder With Multiple Kernel Learning

C. Zheng, Jin-Xing Liu, Meng-Meng Yin, 2021, IEEE Transactions on Neural Networks and Learning Systems.

NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation

Chun-Hou Zheng, Ying-Lian Gao, Xiang-Zhen Kong, 2020, IEEE Transactions on Cybernetics.

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2019, BMC Bioinformatics.

Sparse Graph Regularization Non-Negative Matrix Factorization Based on Huber Loss Model for Cancer Data Analysis

Chun-Hou Zheng, Chuan-Yuan Wang, Jin-Xing Liu, 2019, Front. Genet..

A new pedestrian detection method based on combined HOG and LSS features

Weiming Shen, Tao Wang, Shaoming Pan, 2015, Neurocomputing.

Biweight Midcorrelation-Based Gene Differential Coexpression Analysis and Its Application to Type II Diabetes

Lin Yuan, Zhan-Li Sun, Chun-Hou Zheng, 2013, ICIC.

scCNC: a method based on capsule network for clustering scRNA-seq data

C. Zheng, Hai-yun Wang, Jian-ping Zhao, 2022, Bioinform..

Class Probability Propagation of Supervised Information Based on Sparse Subspace Clustering for Hyperspectral Images

Yanwen Chong, Yi Xia, Chun-Hou Zheng, 2017, Remote. Sens..

A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery

Yi Xia, Chun-Hou Zheng, Qing Yan, 2018, Cognitive Systems Research.

An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation

Jie Gui, Junfeng Xia, Chun-Hou Zheng, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

PCA Based on Graph Laplacian Regularization and P-Norm for Gene Selection and Clustering

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2017, IEEE Transactions on NanoBioscience.

HTRPCA: Hypergraph Regularized Tensor Robust Principal Component Analysis for Sample Clustering in Tumor Omics Data

C. Zheng, Jin-Xing Liu, Juan Wang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering

Juan Wang, Chun-Hou Zheng, Jin-Xing Liu, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes

Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes

Juan Wang, Chun-Hou Zheng, Jin-Xing Liu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis

Hong-Qiang Wang, Chun-Hou Zheng, Xin-Ping Xie, 2011, ICIC.

Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, ICIC.

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Computational identification of deleterious synonymous variants in human genomes using a feature-based approach

Junfeng Xia, Chun-Hou Zheng, Yao Yao, 2019, BMC Medical Genomics.

scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data

C. Zheng, Hai-yun Wang, Jian-ping Zhao, 2023, BMC Bioinformatics.

Extracting local information for identifying differentially expressed pathways

Zengfu Wang, Hong-Qiang Wang, Chun-Hou Zheng, 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.

Gene expression data classification using locally linear discriminant embedding

Lei Zhang, Kyungsook Han, De-Shuang Huang, 2010, Comput. Biol. Medicine.

Locally Linear Discriminant Embedding for Tumor Classification

Lei Zhang, Hong-Qiang Wang, Chun-Hou Zheng, 2008, ICIC.

LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network

Junfeng Xia, Chun-Hou Zheng, Di Zhang, 2016, BMC Bioinformatics.

SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data

Jianping Zhao, Chun-Hou Zheng, Qi Guan, 2021, ICIC.

Simulated Annealing Based Algorithm for Mutated Driver Pathways Detecting

Chao Yan, Chun-Hou Zheng, Wen Sha, 2014, ICIC.

Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization

C. Zheng, Yutian Wang, Zhen Gao, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An NMF-L2,1-Norm Constraint Method for Characteristic Gene Selection

Jiguo Yu, Chun-Hou Zheng, Jin-Xing Liu, 2016, PloS one.

epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

C. Zheng, Jin-Xing Liu, J. Shang, 2017, BioData Mining.

MutualCascade method for pedestrian detection

Yanwen Chong, Qingquan Li, Chun-Hou Zheng, 2014, Neurocomputing.

Pedestrian Detection Based on HOG and LBP

Yan Zhang, Chun-Hou Zheng, Wen-Juan Pei, 2014, ICIC.

A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, Briefings Bioinform..

HTRPCA: Hypergraph Regularized Tensor Robust Principal Component Analysis for Sample Clustering in Tumor Omics Data

C. Zheng, Jin-Xing Liu, Juan Wang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2021, IEEE Journal of Biomedical and Health Informatics.

A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis

C. Zheng, Jin-Xing Liu, J. Shang, 2023, IEEE Journal of Biomedical and Health Informatics.

A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, IEEE Transactions on Neural Networks and Learning Systems.

scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation

C. Zheng, Junfeng Xia, Yansen Su, 2022, Briefings Bioinform..

Penalized Independent Component Discriminant Method for Tumor Classification

Li Shang, Yan Chen, Zhi-Kai Huang, 2006, ICIC.

Combine multiple mass spectral similarity measures for compound identification

Jun Zhang, Bing Wang, Peng Chen, 2016, Int. J. Data Min. Bioinform..

NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2023, IEEE Journal of Biomedical and Health Informatics.

MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation

Jin-Xing Liu, Ying-Lian Gao, Meng-Meng Yin, 2021, ISBRA.