Bin Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Convolutional Neural Network

Machine Learning

Bacillus Subtilis

Top Venues

Bioinformatics (Oxford, England)

Nucleic acids research

Briefings in functional genomics

Briefings in bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Yan Xia, Xiaowen Du, Bin Liu, Shuyuan Guo, Yi-Xin Huo
Species-specific design of artificial promoters by transfer-learning based generative deep-learning model. Nucleic acids research 52 (11) (2024)
Yan Xia, Xiaowen Du, Bin Liu, Shuyuan Guo, Yi-Xin Huo
Species-specific design of artificial promoters by transfer-learning based generative deep-learning model. Nucleic acids research 52 (11) (2024)
Hang Wei, Lin Gao, Shuai Wu, Yina Jiang, Bin Liu
DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity. Bioinformatics (Oxford, England) 40 (5) (2024)
Hang Wei, Lin Gao, Shuai Wu, Yina Jiang, Bin Liu
DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity. Bioinformatics (Oxford, England) 40 (5) (2024)
Hang Wei, Lin Gao, Shuai Wu, Yina Jiang, Bin Liu
DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity. Bioinformatics (Oxford, England) 40 (5) (2024)
Hang Wei, Lin Gao, Shuai Wu, Yina Jiang, Bin Liu
DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity. Bioinformatics (Oxford, England) 40 (5) (2024)
Hang Wei, Lin Gao, Shuai Wu, Yina Jiang, Bin Liu
DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity. Bioinformatics (Oxford, England) 40 (5) (2024)
Hang Wei, Lin Gao, Shuai Wu, Yina Jiang, Bin Liu
DiSMVC: a multi-view graph collaborative learning framework for measuring disease similarity. Bioinformatics (Oxford, England) 40 (5) (2024)
Yan Xia, Xiaowen Du, Bin Liu, Shuyuan Guo, Yi-Xin Huo
Species-specific design of artificial promoters by transfer-learning based generative deep-learning model. Nucleic acids research (2024)
Tao Bai, Bin Liu
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning. Briefings in functional genomics (2023)
Zhourun Wu, Mingyue Guo, Xiaopeng Jin, Junjie Chen, Bin Liu
CFAGO: cross-fusion of network and attributes based on attention mechanism for protein function prediction. Bioinformatics (Oxford, England) 39 (3) (2023)
Ke Yan, Hongwu Lv, Yichen Guo, Yongyong Chen, Hao Wu, Bin Liu
TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model. Bioinformatics (Oxford, England) 38 (10) (2022)
Ning Wang, Ke Yan, Jun Zhang, Bin Liu
iDRNA-ITF: identifying DNA- and RNA-binding residues in proteins based on induction and transfer framework. Briefings in bioinformatics 23 (4) (2022)
Hong-Liang Li, Yi-He Pang, Bin Liu
BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models. Nucleic acids research (2021)