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Accurate prediction of human essential genes using only nucleotide composition and association information.
Guo, Feng-Biao; Dong, Chuan; Hua, Hong-Li; Liu, Shuo; Luo, Hao; Zhang, Hong-Wan; Jin, Yan-Ting; Zhang, Kai-Yue.
Afiliação
  • Guo FB; School of Life Science and Technology, Center for Informational Biology and Key Laboratory for Neuro-information of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.
  • Dong C; School of Life Science and Technology, Center for Informational Biology and Key Laboratory for Neuro-information of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.
  • Hua HL; School of Life Science and Technology, Center for Informational Biology and Key Laboratory for Neuro-information of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.
  • Liu S; School of Life Science and Technology, Center for Informational Biology and Key Laboratory for Neuro-information of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.
  • Luo H; Department of Physics, Tianjin University, Tianjin, China.
  • Zhang HW; School of Life Science and Technology, Center for Informational Biology and Key Laboratory for Neuro-information of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.
  • Jin YT; School of Life Science and Technology, Center for Informational Biology and Key Laboratory for Neuro-information of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.
  • Zhang KY; School of Life Science and Technology, Center for Informational Biology and Key Laboratory for Neuro-information of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.
Bioinformatics ; 33(12): 1758-1764, 2017 Jun 15.
Article em En | MEDLINE | ID: mdl-28158612
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição de Bases / Software / Análise de Sequência de DNA / Genes Essenciais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Composição de Bases / Software / Análise de Sequência de DNA / Genes Essenciais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China