Your browser doesn't support javascript.
loading
KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency.
An, Bingxing; Liang, Mang; Chang, Tianpeng; Duan, Xinghai; Du, Lili; Xu, Lingyang; Zhang, Lupei; Gao, Xue; Li, Junya; Gao, Huijiang.
Afiliação
  • An B; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Liang M; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Chang T; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Duan X; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Du L; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Xu L; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Zhang L; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Gao X; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Li J; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
  • Gao H; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
Brief Bioinform ; 22(6)2021 11 05.
Article em En | MEDLINE | ID: mdl-33963831
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Genótipo / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Genótipo / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article