Chun-Hou Zheng

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 135

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

ICIC (2)

BIBM

Briefings Bioinform.

Publications

Zhen Gao, Yansen Su, Junfeng Xia, Rui-Fen Cao, Yun Ding, Chun-Hou Zheng, Pi-Jing Wei
DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding. Briefings Bioinform. 25 (3) (2024)
Yun Ding, Yanwen Chong, Shaoming Pan, Chun-Hou Zheng
Class-Imbalanced Graph Convolution Smoothing for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Cheng Wang, Ya-Jie Zhang, Xin Xia, Yan-Sen Su, Chun-Hou Zheng, Qing-Wen Wu
A Retrieval-Based Molecular Style Transformation Optimization Model. ICIC (LNBI 1) (2024)
Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer. Future Gener. Comput. Syst. 159 (2024)
Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics. ISBRA (1) (2024)
Pi-Jing Wei, Jin-Jin Bao, Zhen Gao, Jing-Yun Tan, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng, Li Deng
MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infection. Comput. Biol. Medicine 179 (2024)
Jing Jing, Ying-Lian Gao, Yue Gao, Dao-Hui Ge, Chun-Hou Zheng, Jin-Xing Liu
stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics. ICIC (LNBI 1) (2024)
Dai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28 (2) (2024)
Bao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations. Knowl. Based Syst. 283 (2024)
Yanhong Liao, Shouzhi Chen, Yannan Bin, Jianping Zhao, Xinlong Feng, Chun-Hou Zheng
UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique. Comput. Methods Programs Biomed. 250 (2024)
Pi-Jing Wei, Qianqian Wang, Zhen Gao, Ruifen Cao, Chun-Hou Zheng
DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder. Frontiers Comput. Sci. 18 (6) (2024)
Yue Gao, Ying-Lian Gao, Jing Jing, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
A review of recent advances in spatially resolved transcriptomics data analysis. Neurocomputing 603 (2024)
Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (3) (2024)
Rui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng, Fa Zhang
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Pi-Jing Wei, Ziqiang Guo, Zhen Gao, Zheng Ding, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng
Inference of gene regulatory networks based on directed graph convolutional networks. Briefings Bioinform. 25 (4) (2024)
Jin-Xing Liu, Wen-Yu Xi, Ling-Yun Dai, Chun-Hou Zheng, Ying-Lian Gao
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction. CoRR (2024)
Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. 30 (8) (2023)
Meng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng, Jin-Xing Liu
NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Ruifen Cao, Zijue Li, Pi-Jing Wei, Ye Tian, Chun-Hou Zheng
A Hybrid Tourism Recommendation System Based on Multi-objective Evolutionary Algorithm and Re-ranking. ICIC (5) (2023)
He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng
LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Yansen Su, Rongxin Lin, Jing Wang, Dayu Tan, Chun-Hou Zheng
Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing data. Briefings Bioinform. 24 (2) (2023)
Qingqing Cao, Jianping Zhao, Hai-Yun Wang, Qi Guan, Chun-Hou Zheng
An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Zhen Gao, Jin Tang, Junfeng Xia, Chun-Hou Zheng, Pi-Jing Wei
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Huadong Wang, Jianhui Sun, Mengya Liu, Chun-Hou Zheng, Junfeng Xia, Na Cheng
frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Yun Ding, Yanwen Chong, Shaoming Pan, Chun-Hou Zheng
Diversity-Connected Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Jiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng
Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction. ICIC (3) (2023)
Zhi-Hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Li-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-Hao Liu, Chun-Hou Zheng, Yu-Tian Wang
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. BIBM (2023)
Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Lihua Wang, Tao Zhang, Lihong Yu, Chun-Hou Zheng, Wenguang Yin, Junfeng Xia, Tiejun Zhang
Deleterious synonymous mutation identification based on selective ensemble strategy. Briefings Bioinform. 24 (1) (2023)
Pi-Jing Wei, Shu-Li Zhou, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng
Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping Algorithm. ICIC (3) (2023)
Cunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Shouzhi Chen, Yanhong Liao, Jianping Zhao, Yannan Bin, Chun-Hou Zheng
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Jing Wang, Junfeng Xia, Haiyun Wang, Yansen Su, Chun-Hou Zheng
scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network. Briefings Bioinform. 24 (1) (2023)
Hai-Yun Wang, Jian-Ping Zhao, Chun-Hou Zheng, Yan-Sen Su
scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data. Briefings Bioinform. 24 (1) (2023)
Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng, Ying-Lian Gao
Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Sheng-Wen Tian, Jiancheng Ni, Yu-Tian Wang, Chun-Hou Zheng, Cunmei Ji
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Na Cheng, Huadong Wang, Xi Tang, Tao Zhang, Jie Gui, Chun-Hou Zheng, Junfeng Xia
An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Jing Wang, Junfeng Xia, Dayu Tan, Rongxin Lin, Yansen Su, Chun-Hou Zheng
scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation. Briefings Bioinform. 23 (2) (2022)
Zhi-Yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Sha-Sha Yuan, Chun-Hou Zheng, Jin-Xing Liu
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. BIBM (2022)
Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors. BIBM (2022)
Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng
Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Gener. Comput. Syst. 134 (2022)
Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. Briefings Bioinform. 23 (6) (2022)
Rong Qi, Chun-Hou Zheng, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing. ICIC (2) (2022)
Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. IEEE Trans. Cybern. 52 (6) (2022)
Zhi-min Zhang, Jian-ping Zhao, Pi-Jing Wei, Chun-Hou Zheng
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory. Comput. Methods Programs Biomed. 226 (2022)
Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA (2022)
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Meng Liao, Jian-ping Zhao, Jing Tian, Chun-Hou Zheng
iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework. BMC Bioinform. 23 (1) (2022)
Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni
Predicting miRNA-Disease Association Based on Improved Graph Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Hai-Yun Wang, Jian-ping Zhao, Yan-Sen Su, Chun-Hou Zheng
scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Zhi-Wen Ma, Jianping Zhao, Jing Tian, Chun-Hou Zheng
DeeProPre: A promoter predictor based on deep learning. Comput. Biol. Chem. 101 (2022)
Na-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Hai-yun Wang, Jianping Zhao, Chun-Hou Zheng, Yan-Sen Su
scCNC: a method based on capsule network for clustering scRNA-seq data. Bioinform. 38 (15) (2022)
Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. 51 (8) (2021)
Qing-Wen Wu, Jun-Feng Xia, Jian-Cheng Ni, Chun-Hou Zheng
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest. Briefings Bioinform. 22 (5) (2021)
Ming-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association. ICIC (3) (2021)
Zong-Lan Zuo, Rui-Fen Cao, Pi-Jing Wei, Jun-Feng Xia, Chun-Hou Zheng
Double matrix completion for circRNA-disease association prediction. BMC Bioinform. 22 (1) (2021)
Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. ISBRA (2021)
Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. BIBM (2021)
Jianping Zhao, Hai-yun Wang, Chun-Hou Zheng
SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data. ICIC (3) (2021)
Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification. Knowl. Based Syst. 227 (2021)
Lei Li, Zhen Gao, Yu-Tian Wang, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng, Yansen Su
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization. PLoS Comput. Biol. 17 (7) (2021)
Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni, Chun-Hou Zheng
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Yun-Yun Tang, Pi-Jing Wei, Jianping Zhao, Junfeng Xia, Rui-Fen Cao, Chun-Hou Zheng
Identification of driver genes based on gene mutational effects and network centrality. BMC Bioinform. (3) (2021)
Lei Li, Yu-Tian Wang, Cunmei Ji, Chun-Hou Zheng, Jian-Cheng Ni, Yan-Sen Su
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder. PLoS Comput. Biol. 17 (12) (2021)
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. 2020 (2020)
Sijia Zhang, Le Zhao, Chun-Hou Zheng, Junfeng Xia
A feature-based approach to predict hot spots in protein-DNA binding interfaces. Briefings Bioinform. 21 (3) (2020)
Na Cheng, Menglu Li, Le Zhao, Bo Zhang, Yuhua Yang, Chun-Hou Zheng, Junfeng Xia
Comparison and integration of computational methods for deleterious synonymous mutation prediction. Briefings Bioinform. 21 (3) (2020)
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Jian-Cheng Ni, Chun-Hou Zheng
-nonnegative matrix factorization for miRNA-disease association prediction. BMC Bioinform. 21 (1) (2020)
Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. BMC Bioinform. 21 (1) (2020)
Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. ICIC (2) (2020)
Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Xiujuan Lei
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiang-Zhen Kong
Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. 78 (2019)
Xin Ding, Jun-Feng Xia, Yutian Wang, Jing Wang, Chun-Hou Zheng
Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations. ICIC (2) (2019)
Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR (2019)
Yuan-Yuan Zhang, Chao Yang, Jing Wang, Chun-Hou Zheng
A Link and Weight-Based Ensemble Clustering for Patient Stratification. ICIC (2) (2019)
Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinform. 20 (1) (2019)
Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. BMC Bioinform. (25) (2019)
Ying Hui, Pi-Jing Wei, Jun-Feng Xia, Hong-Bo Wang, Jing Wang, Chun-Hou Zheng
Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score. ICIC (2) (2019)
Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. 30 (10) (2019)
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng
HGMDA: HyperGraph for Predicting MiRNA-Disease Association. ICIC (2) (2019)
Qing Yan, Yun Ding, Jing-Jing Zhang, Yi Xia, Chun-Hou Zheng
A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery. Cogn. Syst. Res. 53 (2019)
Lin-Wei Ge, Jun Zhang, Yi Xia, Peng Chen, Bing Wang, Chun-Hou Zheng
Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. 63 (2019)
Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. J. Comput. Biol. 26 (8) (2019)
Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. ICIC (2) (2018)
Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)

Chun-Hou Zheng.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

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Chun-Hou Zheng