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A statistical framework for assessing pharmacological responses and biomarkers using uncertainty estimates.
Wang, Dennis; Hensman, James; Kutkaite, Ginte; Toh, Tzen S; Galhoz, Ana; Dry, Jonathan R; Saez-Rodriguez, Julio; Garnett, Mathew J; Menden, Michael P; Dondelinger, Frank.
Affiliation
  • Wang D; Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom.
  • Hensman J; Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.
  • Kutkaite G; PROWLER.io, Cambridge, United Kingdom.
  • Toh TS; Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Galhoz A; Department of Biology, Ludwig-Maximilians University Munich, Martinsried, Germany.
  • Dry JR; Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Saez-Rodriguez J; Department of Biology, Ludwig-Maximilians University Munich, Martinsried, Germany.
  • Garnett MJ; Wellcome Sanger Institute, Cambridge, United Kingdom.
  • Menden MP; Research and Early Development, Oncology R&D, AstraZeneca, Boston, United States.
  • Dondelinger F; Institute of Computational Biomedicine,Faculty of Medicine,Heidelberg Universityand Heidelberg University Hospital, Bioquant, Heidelberg, Germany.
Elife ; 92020 12 04.
Article in En | MEDLINE | ID: mdl-33274713

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / Statistics as Topic / Drug Discovery / Antineoplastic Agents Type of study: Prognostic_studies Limits: Humans Language: En Journal: Elife Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / Statistics as Topic / Drug Discovery / Antineoplastic Agents Type of study: Prognostic_studies Limits: Humans Language: En Journal: Elife Year: 2020 Document type: Article