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Base-resolution models of transcription-factor binding reveal soft motif syntax.
Avsec, Ziga; Weilert, Melanie; Shrikumar, Avanti; Krueger, Sabrina; Alexandari, Amr; Dalal, Khyati; Fropf, Robin; McAnany, Charles; Gagneur, Julien; Kundaje, Anshul; Zeitlinger, Julia.
Afiliação
  • Avsec Z; Department of Informatics, Technical University of Munich, Garching, Germany.
  • Weilert M; Graduate School of Quantitative Biosciences, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Shrikumar A; DeepMind, London, UK.
  • Krueger S; Stowers Institute for Medical Research, Kansas City, MO, USA.
  • Alexandari A; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Dalal K; Stowers Institute for Medical Research, Kansas City, MO, USA.
  • Fropf R; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • McAnany C; Stowers Institute for Medical Research, Kansas City, MO, USA.
  • Gagneur J; The University of Kansas Medical Center, Kansas City, KS, USA.
  • Kundaje A; Stowers Institute for Medical Research, Kansas City, MO, USA.
  • Zeitlinger J; Stowers Institute for Medical Research, Kansas City, MO, USA.
Nat Genet ; 53(3): 354-366, 2021 03.
Article em En | MEDLINE | ID: mdl-33603233
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En 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 Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2021 Tipo de documento: Article