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Ling-Yun Dai

Showing results (1-10 of 29) with videos related to

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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 27, 2024
CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA-Disease Association PredictionRong Zhu, Yong Wang, Ling-Yun Dai
BMC Medical Informatics and Decision Making|March 20, 2022
Predicting miRNA-disease associations via layer attention graph convolutional network modelHan Han, Rong Zhu, Jin-Xing Liu, et al.
BMC Bioinformatics|April 2, 2021
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifierRong Zhu, Yong Wang, Jin-Xing Liu, et al.
Peerj. Computer Science|September 24, 2025
Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategiesRong Zhu, Yong Wang, Junliang Shang, et al.
Human Heredity|August 30, 2019
A Low-Rank Representation Method Regularized by Dual-Hypergraph Laplacian for Selecting Differentially Expressed GenesXiu-Xiu Xu, Ling-Yun Dai, Xiang-Zhen Kong, et al.
BMC Bioinformatics|January 11, 2019
ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactionsRong Zhu, Guangshun Li, Jin-Xing Liu, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|April 21, 2021
A review on partial-wave dynamics with chiral effective field theory and dispersion relationDe-Liang Yao, Ling-Yun Dai, Han-Qing Zheng, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 17, 2024
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data ClusteringTian-Jing Qiao, Feng Li, Sha-Sha Yuan, et al.
BMC Bioinformatics|January 1, 2020
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression dataChun-Mei Feng, Yong Xu, Mi-Xiao Hou, et al.
BMC Bioinformatics|January 1, 2020
Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraintsJuan Wang, Cong-Hai Lu, Jin-Xing Liu, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|November 27, 2024
CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA-Disease Association PredictionRong Zhu, Yong Wang, Ling-Yun Dai
BMC Medical Informatics and Decision Making|March 20, 2022
Predicting miRNA-disease associations via layer attention graph convolutional network modelHan Han, Rong Zhu, Jin-Xing Liu, et al.
BMC Bioinformatics|April 2, 2021
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifierRong Zhu, Yong Wang, Jin-Xing Liu, et al.
Peerj. Computer Science|September 24, 2025
Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategiesRong Zhu, Yong Wang, Junliang Shang, et al.
Human Heredity|August 30, 2019
A Low-Rank Representation Method Regularized by Dual-Hypergraph Laplacian for Selecting Differentially Expressed GenesXiu-Xiu Xu, Ling-Yun Dai, Xiang-Zhen Kong, et al.
BMC Bioinformatics|January 11, 2019
ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactionsRong Zhu, Guangshun Li, Jin-Xing Liu, et al.
Reports on Progress in Physics. Physical Society (Great Britain)|April 21, 2021
A review on partial-wave dynamics with chiral effective field theory and dispersion relationDe-Liang Yao, Ling-Yun Dai, Han-Qing Zheng, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 17, 2024
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data ClusteringTian-Jing Qiao, Feng Li, Sha-Sha Yuan, et al.
BMC Bioinformatics|January 1, 2020
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression dataChun-Mei Feng, Yong Xu, Mi-Xiao Hou, et al.
BMC Bioinformatics|January 1, 2020
Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraintsJuan Wang, Cong-Hai Lu, Jin-Xing Liu, et al.
Pageof 3