Identifying Cancer Targets Based on Machine Learning Methods via Chou's 5-steps Rule and General Pseudo Components.

Liang, Ruirui; Xie, Jiayang; Zhang, Chi; Zhang, Mengying; Huang, Hai; Huo, Haizhong; Cao, Xin; Niu, Bing

Liang, Ruirui; Xie, Jiayang; Zhang, Chi; Zhang, Mengying; Huang, Hai; Huo, Haizhong; Cao, Xin; Niu, Bing.

Afiliación

Liang R; School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Xie J; School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Zhang C; Foshan Huaxia Eye Hospital, Huaxia Eye Hospital Group, Foshan 528000, China.
Zhang M; School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Huang H; School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Huo H; Department of General Surgery, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.
Cao X; Zhongshan Hospital, Institute of Clinical Science, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Niu B; School of Life Sciences, Shanghai University, Shanghai, 200444, China.

Curr Top Med Chem ; 19(25): 2301-2317, 2019.

Article en En | MEDLINE | ID: mdl-31622219

Asunto(s)

Aprendizaje Automático; Terapia Molecular Dirigida; Neoplasias/tratamiento farmacológico; Neoplasias/metabolismo; Animales; Teorema de Bayes; Humanos; Neoplasias/diagnóstico; Máquina de Vectores de Soporte

Palabras clave

Adaboost; Artifical neural work; Big data; Ensemble learning; High-through sequence; Machine learning; Naïve Bayes classifier; Next generation sequencing; Support vector machine; bagging.

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Terapia Molecular Dirigida / Aprendizaje Automático / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Curr Top Med Chem Asunto de la revista: QUIMICA Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Emiratos Árabes Unidos

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