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For: Ru X, Ye X, Sakurai T, Zou Q. Application of learning to rank in bioinformatics tasks. Brief Bioinform 2021;22:6102666. [PMID: 33454758 DOI: 10.1093/bib/bbaa394] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 11/09/2020] [Accepted: 11/24/2020] [Indexed: 12/17/2022]  Open
Number Cited by Other Article(s)
1
Sotudian S, Paschalidis IC. ITNR: Inversion Transformer-based Neural Ranking for cancer drug recommendations. Comput Biol Med 2024;172:108312. [PMID: 38503090 PMCID: PMC10990436 DOI: 10.1016/j.compbiomed.2024.108312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 03/09/2024] [Accepted: 03/12/2024] [Indexed: 03/21/2024]
2
Zhang W, Liu B. iSnoDi-MDRF: Identifying snoRNA-Disease Associations Based on Multiple Biological Data by Ranking Framework. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023;20:3013-3019. [PMID: 37030816 DOI: 10.1109/tcbb.2023.3258448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
3
Liang Q, Zhang W, Wu H, Liu B. LncRNA-disease association identification using graph auto-encoder and learning to rank. Brief Bioinform 2023;24:6955271. [PMID: 36545805 DOI: 10.1093/bib/bbac539] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 10/18/2022] [Accepted: 11/08/2022] [Indexed: 12/24/2022]  Open
4
Guo X, Jiang Y, Zou Q. Structured Sparse Regularized TSK Fuzzy System for predicting therapeutic peptides. Brief Bioinform 2022;23:6570018. [PMID: 35438149 DOI: 10.1093/bib/bbac135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/19/2022] [Accepted: 03/22/2022] [Indexed: 11/13/2022]  Open
5
Ru X, Ye X, Sakurai T, Zou Q, Xu L, Lin C. Current status and future prospects of drug-target interaction prediction. Brief Funct Genomics 2021;20:312-322. [PMID: 34189559 DOI: 10.1093/bfgp/elab031] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 06/01/2021] [Accepted: 06/04/2021] [Indexed: 01/09/2023]  Open
6
Xu L, Ru X, Song R. Application of Machine Learning for Drug-Target Interaction Prediction. Front Genet 2021;12:680117. [PMID: 34234813 PMCID: PMC8255962 DOI: 10.3389/fgene.2021.680117] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 05/28/2021] [Indexed: 11/13/2022]  Open
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