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Laiyi Fu

Showing results (1-10 of 19) with videos related to

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Scientific Reports|November 5, 2017
A deep ensemble model to predict miRNA-disease associationLaiyi Fu, Qinke Peng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 6, 2019
Predicting DNA Methylation States with Hybrid Information Based Deep-Learning ModelLaiyi Fu, Qinke Peng, Ling Chai
Briefings in Bioinformatics|August 3, 2025
Dual balanced augmented topological noncoding RNA disease triplet association in heterogeneous graphsLaiyi Fu, Yangyi Zhou, Hongqiang Lyu, et al.
Briefings in Bioinformatics|May 11, 2026
Biased multi-view contrastive learning with attentive masking for spatial transcriptomic analysisLaiyi Fu, Wenkai Cui, Yifan Chen, et al.
Briefings in Bioinformatics|October 23, 2024
ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA-disease associations in heterogeneous graphsLaiyi Fu, ZhiYuan Yao, Yangyi Zhou, et al.
Science Advances|December 23, 2020
Predicting transcription factor binding in single cells through deep learningLaiyi Fu, Lihua Zhang, Emmanuel Dollinger, et al.
Briefings in Bioinformatics|June 29, 2025
DeepExDC interprets genomic compartmentalization changes in single-cell Hi-C dataHongqiang Lyu, Pei Cao, Wenyao Long, et al.
Briefings in Bioinformatics|August 17, 2023
KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associationsJinyang Wu, Zhiwei Ning, Yidong Ding, et al.
Bioinformatics (Oxford, England)|March 7, 2024
Identifying TAD-like domains on single-cell Hi-C data by graph embedding and changepoint detectionErhu Liu, Hongqiang Lyu, Yuan Liu, et al.
Nucleic Acids Research|November 18, 2021
UFold: fast and accurate RNA secondary structure prediction with deep learningLaiyi Fu, Yingxin Cao, Jie Wu, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Scientific Reports|November 5, 2017
A deep ensemble model to predict miRNA-disease associationLaiyi Fu, Qinke Peng
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 6, 2019
Predicting DNA Methylation States with Hybrid Information Based Deep-Learning ModelLaiyi Fu, Qinke Peng, Ling Chai
Briefings in Bioinformatics|August 3, 2025
Dual balanced augmented topological noncoding RNA disease triplet association in heterogeneous graphsLaiyi Fu, Yangyi Zhou, Hongqiang Lyu, et al.
Briefings in Bioinformatics|May 11, 2026
Biased multi-view contrastive learning with attentive masking for spatial transcriptomic analysisLaiyi Fu, Wenkai Cui, Yifan Chen, et al.
Briefings in Bioinformatics|October 23, 2024
ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA-disease associations in heterogeneous graphsLaiyi Fu, ZhiYuan Yao, Yangyi Zhou, et al.
Science Advances|December 23, 2020
Predicting transcription factor binding in single cells through deep learningLaiyi Fu, Lihua Zhang, Emmanuel Dollinger, et al.
Briefings in Bioinformatics|June 29, 2025
DeepExDC interprets genomic compartmentalization changes in single-cell Hi-C dataHongqiang Lyu, Pei Cao, Wenyao Long, et al.
Briefings in Bioinformatics|August 17, 2023
KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associationsJinyang Wu, Zhiwei Ning, Yidong Ding, et al.
Bioinformatics (Oxford, England)|March 7, 2024
Identifying TAD-like domains on single-cell Hi-C data by graph embedding and changepoint detectionErhu Liu, Hongqiang Lyu, Yuan Liu, et al.
Nucleic Acids Research|November 18, 2021
UFold: fast and accurate RNA secondary structure prediction with deep learningLaiyi Fu, Yingxin Cao, Jie Wu, et al.
Pageof 2