Mining influential genes based on deep learning.

Kong, Lingpeng; Chen, Yuanyuan; Xu, Fengjiao; Xu, Mingmin; Li, Zutan; Fang, Jingya; Zhang, Liangyun; Pian, Cong

Kong, Lingpeng; Chen, Yuanyuan; Xu, Fengjiao; Xu, Mingmin; Li, Zutan; Fang, Jingya; Zhang, Liangyun; Pian, Cong.

Afiliação

Kong L; College of Agriculture, Nanjing Agricultural University, Jiangsu, 210095, Nanjing, China.
Chen Y; Department of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, 210095, China.
Xu F; Department of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, 210095, China.
Xu M; College of Agriculture, Nanjing Agricultural University, Jiangsu, 210095, Nanjing, China.
Li Z; College of Agriculture, Nanjing Agricultural University, Jiangsu, 210095, Nanjing, China.
Fang J; College of Agriculture, Nanjing Agricultural University, Jiangsu, 210095, Nanjing, China.
Zhang L; Department of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, 210095, China. zlyun@njau.edu.cn.
Pian C; Department of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, 210095, China. piancong@njau.edu.cn.

BMC Bioinformatics ; 22(1): 27, 2021 Jan 22.

Article em En | MEDLINE | ID: mdl-33482718

Assuntos

Aprendizado Profundo; Perfilação da Expressão Gênica; Genômica; Genoma; Transcriptoma

Palavras-chave

AutoEncoder; Deep learning; DeepLIFT; Landmark genes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Genômica / Aprendizado Profundo Tipo de estudo: Prognostic_studies Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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