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Current Opinion in Chemical Biology
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December 16, 2019
CETSA in integrated proteomics studies of cellular processes
Nayana Prabhu, Lingyun Dai, Pär Nordlund
ACS Energy Letters
|
June 16, 2023
Machine Learning for Harnessing Thermal Energy: From Materials Discovery to System Optimization
Man Li, Lingyun Dai, Yongjie Hu
IEEE Transactions on Computational Biology and Bioinformatics
|
March 17, 2026
A Novel Low-Dimensional Sparse and Low-Rank Representation Method for Single-Cell RNA Sequencing Data Clustering
Zhenduo Zhang, Junliang Shang, Lingyun Dai, et al.
Non-Coding RNA
|
February 23, 2024
HGSMDA: miRNA-Disease Association Prediction Based on HyperGCN and Sørensen-Dice Loss
Zhenghua Chang, Rong Zhu, Jinxing Liu, et al.
Briefings in Bioinformatics
|
April 1, 2024
IMPRINTS.CETSA and IMPRINTS.CETSA.app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data
Marc-Antoine Gerault, Samuel Granjeaud, Luc Camoin, et al.
Genes
|
May 28, 2022
Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms
Feng Li, Xin Chu, Lingyun Dai, et al.
Brain Sciences
|
October 27, 2022
Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals
Xiang Liu, Juan Wang, Junliang Shang, et al.
Genes
|
November 11, 2022
MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations
Lingyun Dai, Rong Zhu, Jinxing Liu, et al.
IEEE Journal of Biomedical and Health Informatics
|
July 15, 2025
A Hierarchical Attention-based Negative Sampling Method for Drug Repositioning Using Neighborhood Interaction Fusion
Chenglong Mi, Lingyun Dai, Junliang Shang, et al.
Quantitative Biology (Beijing, China)
|
February 12, 2026
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data
Xiaomeng Xue, Feng Li, Junliang Shang, et al.
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of 8
Search research articles
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Showing results (1-10 of 80) with videos related to
Sort By:
Page
of 8
Current Opinion in Chemical Biology
|
December 16, 2019
CETSA in integrated proteomics studies of cellular processes
Nayana Prabhu, Lingyun Dai, Pär Nordlund
ACS Energy Letters
|
June 16, 2023
Machine Learning for Harnessing Thermal Energy: From Materials Discovery to System Optimization
Man Li, Lingyun Dai, Yongjie Hu
IEEE Transactions on Computational Biology and Bioinformatics
|
March 17, 2026
A Novel Low-Dimensional Sparse and Low-Rank Representation Method for Single-Cell RNA Sequencing Data Clustering
Zhenduo Zhang, Junliang Shang, Lingyun Dai, et al.
Non-Coding RNA
|
February 23, 2024
HGSMDA: miRNA-Disease Association Prediction Based on HyperGCN and Sørensen-Dice Loss
Zhenghua Chang, Rong Zhu, Jinxing Liu, et al.
Briefings in Bioinformatics
|
April 1, 2024
IMPRINTS.CETSA and IMPRINTS.CETSA.app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data
Marc-Antoine Gerault, Samuel Granjeaud, Luc Camoin, et al.
Genes
|
May 28, 2022
Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms
Feng Li, Xin Chu, Lingyun Dai, et al.
Brain Sciences
|
October 27, 2022
Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals
Xiang Liu, Juan Wang, Junliang Shang, et al.
Genes
|
November 11, 2022
MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations
Lingyun Dai, Rong Zhu, Jinxing Liu, et al.
IEEE Journal of Biomedical and Health Informatics
|
July 15, 2025
A Hierarchical Attention-based Negative Sampling Method for Drug Repositioning Using Neighborhood Interaction Fusion
Chenglong Mi, Lingyun Dai, Junliang Shang, et al.
Quantitative Biology (Beijing, China)
|
February 12, 2026
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data
Xiaomeng Xue, Feng Li, Junliang Shang, et al.
Page
of 8