DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank

Motivation: Identifying drug–target interactions is an important task in drug discovery. To reduce heavy time and financial cost in experimental way, many computational approaches have been proposed. Although these approaches have used many different principles, their performance is far from satisfa...

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Detalles Bibliográficos
Autores principales: Yuan, Qingjun, Gao, Junning, Wu, Dongliang, Zhang, Shihua, Mamitsuka, Hiroshi, Zhu, Shanfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908328/
https://www.ncbi.nlm.nih.gov/pubmed/27307615
http://dx.doi.org/10.1093/bioinformatics/btw244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908328/
https://www.ncbi.nlm.nih.gov/pubmed/27307615
http://dx.doi.org/10.1093/bioinformatics/btw244

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