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The Kipoi repository accelerates community exchange and reuse of predictive models for genomics.
Avsec, Ziga; Kreuzhuber, Roman; Israeli, Johnny; Xu, Nancy; Cheng, Jun; Shrikumar, Avanti; Banerjee, Abhimanyu; Kim, Daniel S; Beier, Thorsten; Urban, Lara; Kundaje, Anshul; Stegle, Oliver; Gagneur, Julien.
Afiliação
  • Avsec Z; Department of Informatics, Technical University of Munich, Garching, Germany. avsec@in.tum.de.
  • Kreuzhuber R; Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany. avsec@in.tum.de.
  • Israeli J; Department of Haematology, University of Cambridge, Cambridge, UK.
  • Xu N; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Cheng J; Biophysics Program, Stanford University, Stanford, CA, USA.
  • Shrikumar A; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Banerjee A; Department of Informatics, Technical University of Munich, Garching, Germany.
  • Kim DS; Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany.
  • Beier T; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Urban L; Physics Department, Stanford University, Stanford, CA, USA.
  • Kundaje A; Biomedical Informatics Program, Stanford University, Stanford, CA, USA.
  • Stegle O; Division for Computational Genomics & Systems Genetics, German Cancer Research Center, Heidelberg, Germany.
  • Gagneur J; European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
Nat Biotechnol ; 37(6): 592-600, 2019 06.
Article em En | MEDLINE | ID: mdl-31138913
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article