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Relating enhancer genetic variation across mammals to complex phenotypes using machine learning.
Kaplow, Irene M; Lawler, Alyssa J; Schäffer, Daniel E; Srinivasan, Chaitanya; Sestili, Heather H; Wirthlin, Morgan E; Phan, BaDoi N; Prasad, Kavya; Brown, Ashley R; Zhang, Xiaomeng; Foley, Kathleen; Genereux, Diane P; Karlsson, Elinor K; Lindblad-Toh, Kerstin; Meyer, Wynn K; Pfenning, Andreas R.
Afiliación
  • Kaplow IM; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Lawler AJ; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Schäffer DE; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Srinivasan C; Department of Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Sestili HH; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Wirthlin ME; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Phan BN; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Prasad K; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Brown AR; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Zhang X; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Foley K; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Genereux DP; Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Karlsson EK; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Lindblad-Toh K; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Meyer WK; Department of Biological Sciences, Lehigh University, Bethlehem, PA, USA.
  • Pfenning AR; Broad Institute, Cambridge, MA, USA.
Science ; 380(6643): eabm7993, 2023 04 28.
Article en En | MEDLINE | ID: mdl-37104615
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Elementos de Facilitación Genéticos / Aprendizaje Automático / Mamíferos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Science Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Elementos de Facilitación Genéticos / Aprendizaje Automático / Mamíferos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Science Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos