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A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations.
Chang, Ji-Wei; Ding, Yuduan; Tahir Ul Qamar, Muhammad; Shen, Yin; Gao, Junxiang; Chen, Ling-Ling.
Afiliação
  • Chang JW; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, P. R. China.
  • Ding Y; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, P. R. China.
  • Tahir Ul Qamar M; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, P. R. China.
  • Shen Y; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, P. R. China.
  • Gao J; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, P. R. China.
  • Chen LL; National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, P. R. China.
Carcinogenesis ; 40(5): 624-632, 2019 07 04.
Article em En | MEDLINE | ID: mdl-30944926
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oncogenes / Modelos Estatísticos / Genes Supressores de Tumor / Biologia Computacional / Aprendizado Profundo / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oncogenes / Modelos Estatísticos / Genes Supressores de Tumor / Biologia Computacional / Aprendizado Profundo / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article