DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features.

Chu, Yanyi; Kaushik, Aman Chandra; Wang, Xiangeng; Wang, Wei; Zhang, Yufang; Shan, Xiaoqi; Salahub, Dennis Russell; Xiong, Yi; Wei, Dong-Qing

Chu, Yanyi; Kaushik, Aman Chandra; Wang, Xiangeng; Wang, Wei; Zhang, Yufang; Shan, Xiaoqi; Salahub, Dennis Russell; Xiong, Yi; Wei, Dong-Qing.

Afiliación

Chu Y; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.
Kaushik AC; School of Medicine, Jiangnan University, Wuxi, China.
Wang X; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.
Wang W; Mathematical Sciences, Shanghai Jiao Tong University.
Zhang Y; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.
Shan X; School of Life Sciences and Biotechnology.
Salahub DR; Department of Chemistry, University of Calgary, Fellow Royal Society of Canada.
Xiong Y; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.
Wei DQ; School of Life Sciences and Biotechnology, Shanghai Jiao Tong University.

Brief Bioinform ; 22(1): 451-462, 2021 01 18.

Article en En | MEDLINE | ID: mdl-31885041

Asunto(s)

Desarrollo de Medicamentos/métodos; Proteómica/métodos; Programas Informáticos; Humanos; Simulación del Acoplamiento Molecular/métodos; Análisis de Secuencia de Proteína/métodos

Palabras clave

cascade deep forest; drug-target interaction; ensemble learning; machine learning

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteómica / Desarrollo de Medicamentos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google