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Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships.
Cheng, Chia-Yi; Li, Ying; Varala, Kranthi; Bubert, Jessica; Huang, Ji; Kim, Grace J; Halim, Justin; Arp, Jennifer; Shih, Hung-Jui S; Levinson, Grace; Park, Seo Hyun; Cho, Ha Young; Moose, Stephen P; Coruzzi, Gloria M.
Afiliação
  • Cheng CY; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
  • Li Y; Department of Life Science, National Taiwan University, Taipei, Taiwan.
  • Varala K; Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN, USA.
  • Bubert J; Purdue Center for Plant Biology, Purdue University, West Lafayette, IN, USA.
  • Huang J; Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN, USA.
  • Kim GJ; Purdue Center for Plant Biology, Purdue University, West Lafayette, IN, USA.
  • Halim J; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
  • Arp J; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
  • Shih HS; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
  • Levinson G; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
  • Park SH; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
  • Cho HY; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
  • Moose SP; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
  • Coruzzi GM; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
Nat Commun ; 12(1): 5627, 2021 09 24.
Article em En | MEDLINE | ID: mdl-34561450
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arabidopsis / Regulação da Expressão Gênica de Plantas / Zea mays / Transcriptoma / Aprendizado de Máquina Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arabidopsis / Regulação da Expressão Gênica de Plantas / Zea mays / Transcriptoma / Aprendizado de Máquina Idioma: En Ano de publicação: 2021 Tipo de documento: Article