Ling-Yun Dai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Matrix Factorization

Differentially Expressed

Clustering Method

Top Venues

Comput. Biol. Chem.

Publications

Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. 31 (6) (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)
Xu Wang, Ling-Yun Dai, Jin-Xing Liu, Shuang Wang
MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations. BIBM (2023)
Shuang Wang, Jin-Xing Liu, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao
MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes. BIBM (2023)
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA (2023)
Rong Zhu, Hua-Hui Gao, Junliang Shang, Ling-Yun Dai
KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT. BIBM (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)
Han Han, Rong Zhu, Jin-Xing Liu, Ling-Yun Dai
Predicting miRNA-disease associations via layer attention graph convolutional network model. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Juan Wang, Cong-Hai Lu, Xiang-Zhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. (12) (2022)
He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA (2021)
Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. 36 (2) (2021)
Rong Zhu, Yong Wang, Jin-Xing Liu, Ling-Yun Dai
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier. BMC Bioinform. 22 (1) (2021)
Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Junliang Shang
Sparse robust graph-regularized non-negative matrix factorization based on correntropy. J. Bioinform. Comput. Biol. 19 (1) (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)
Ling-Yun Dai, Rong Zhu, Juan Wang
Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis. Complex. 2020 (2020)
Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM (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)
Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. (22) (2019)
Juan Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shasha Yuan, Ling-Yun Dai
Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. 78 (2019)
Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinform. 20 (1) (2019)
Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Ying Guo
ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactions. BMC Bioinform. 20 (1) (2019)
Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong
Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. (22) (2019)
Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan
L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions. BMC Bioinform. (8) (2019)
Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong, Junliang Shang
Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. 78 (2019)
Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu
Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. Complex. 2019 (2019)
Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong, Mi-Xiao Hou, Shasha Yuan
Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM (2018)
Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiang-Zhen Kong, Ling-Yun Dai
Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) (2018)
Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan, Ying Guo
A Fast Quantum Clustering Approach for Cancer Gene Clustering. BIBM (2018)
Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM (2017)
Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. Complex. 2017 (2017)
Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. BIBM (2017)
Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiang-Zhen Kong, Shasha Yuan
A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. 19 (3) (2017)
Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu
Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. BIBM (2016)