Ying-Lian Gao

发表

Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification

Chun-Hou Zheng, Jin-Xing Liu, Liang-Rui Ren, 2020, ICIC.

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations

Ying-Lian Gao, Xiang-Zhen Kong, Tian-Ru Wu, 2020, BMC Bioinform..

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection

Jin-Xing Liu, Ying-Lian Gao, Yong-Jing Hao, 2019, Complex..

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.

Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method

Yue Hu, Jin-Xing Liu, Ying-Lian Gao, 2019, Complex..

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).

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.

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

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

Differentially expressed genes selection via Truncated Nuclear Norm Regularization

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

Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection

Jiguo Yu, Jin-Xing Liu, Ying-Lian Gao, 2015, ICIC.

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data

Qi Zhu, Yong Xu, Chun-Hou Zheng, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection

Yue Hu, Jin-Xing Liu, Ying-Lian Gao, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Principal Component Analysis Based on Graph Laplacian and Double Sparse Constraints for Feature Selection and Sample Clustering on Multi-View Data

Juan Wang, Jin-Xing Liu, Ying-Lian Gao, 2019, Human Heredity.

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.

A New Model of Identifying Differentially Expressed Genes via Weighted Network Analysis Based on Dimensionality Reduction Method

Jin-Xing Liu, Ying-Lian Gao, Jin-Xing Liu, 2019 .

Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations

Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, 2020, IEEE Journal of Biomedical and Health Informatics.

LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations

Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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.

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).

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring

Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, 2020, IEEE Journal of Biomedical and Health Informatics.

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.

A Two-Stage Sparse Selection Method for Extracting Characteristic Genes

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2015, ICIC.

The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method

Juan Wang, Jin-Xing Liu, Ying-Lian Gao, 2018, BMC Bioinformatics.

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).

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

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

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

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

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.

Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm

Xiangzhen Kong, Jin-Xing Liu, Ying-Lian Gao, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2018, ICIC.

Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations

Feng Li, Zhen Cui, Jin-Xing Liu, 2019, ICIC.

A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection

Yong Du, Juan Wang, Jin-Xing Liu, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A multi-view classification and feature selection method via sparse low-rank regression analysis

Jin-Xing Liu, Ying-Lian Gao, Pei-Yong Li, 2020, Int. J. Data Min. Bioinform..

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

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

Dual Hyper-graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.

Juan Wang, Ying-Lian Gao, Jin-Xing Liu, 2020, IEEE/ACM transactions on computational biology and bioinformatics.

Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification

Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, 2020, IEEE Journal of Biomedical and Health Informatics.

Low-rank representation regularized by L2,1-norm for identifying differentially expressed genes

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

A Simple Review of Sparse Principal Components Analysis

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

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.

Co-differential Gene Selection and Clustering Based on Graph Regularized Multi-View NMF in Cancer Genomic Data

Rong Zhu, Jin-Xing Liu, Ying-Lian Gao, 2018, Genes.

Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data

Juan Wang, Jin-Xing Liu, Ying-Lian Gao, 2019, Human Genomics.

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

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

Semi-supervised Feature Extraction for RNA-Seq Data Analysis

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2015, ICIC.

L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification

Rong Zhu, Liang-Rui Ren, Ying-Lian Gao, 2020, Comput. Biol. Chem..

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

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

An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2019, IEEE Access.

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

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

A new method for mining information of co-expression network based on multi-cancers integrated data

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2019, BMC Medical Genomics.

Hypergraph regularized NMF by L2,1-norm for Clustering and Com-abnormal Expression Genes Selection

Jin-Xing Liu, Ying-Lian Gao, Na Yu, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A novel low-rank representation method for identifying differentially expressed genes

Shasha Yuan, Jin-Xing Liu, Ying-Lian Gao, 2017, Int. J. Data Min. Bioinform..

WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations

Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong, 2020, IEEE Journal of Biomedical and Health Informatics.

Characteristic gene selection via L2,1-norm Sparse Principal Component Analysis

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

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

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

L2,1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions

Jin-Xing Liu, Ying-Lian Gao, Sha-Sha Yuan, 2019, BMC Bioinformatics.

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.

Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes

Jian Liu, Jin-Xing Liu, Ying-Lian Gao, 2015, ICIC.

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.

Joint L1/2-Norm Constraint and Graph-Laplacian PCA Method for Feature Extraction

Jin-Xing Liu, Ying-Lian Gao, Juan Wang, 2017, BioMed research international.

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..

Network analysis based on low-rank method for mining information on integrated data of multi-cancers

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2019, Comput. Biol. Chem..

Sparse robust graph-regularized non-negative matrix factorization based on correntropy

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2021, J. Bioinform. Comput. Biol..

Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification

Jin-Xing Liu, Ying-Lian Gao, Zhen-Xin Niu, 2021, ICIC.

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.

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..

DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization

Jin-Xing Liu, Ying-Lian Gao, Zhen Cui, 2021, BMC Bioinformatics.

Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2021, Int. J. Mach. Learn. Cybern..

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.

Ensemble Adaptive Total Variation Graph Regularized NMF for Single-cell RNA-Seq Data Analysis

Jin-Xing Liu, Ying-Lian Gao, Rong Zhu, 2021 .

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.