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A community effort to assess and improve drug sensitivity prediction algorithms.
Costello, James C; Heiser, Laura M; Georgii, Elisabeth; Gönen, Mehmet; Menden, Michael P; Wang, Nicholas J; Bansal, Mukesh; Ammad-ud-din, Muhammad; Hintsanen, Petteri; Khan, Suleiman A; Mpindi, John-Patrick; Kallioniemi, Olli; Honkela, Antti; Aittokallio, Tero; Wennerberg, Krister; Collins, James J; Gallahan, Dan; Singer, Dinah; Saez-Rodriguez, Julio; Kaski, Samuel; Gray, Joe W; Stolovitzky, Gustavo.
Affiliation
  • Costello JC; 1] Howard Hughes Medical Institute, Boston University, Boston, Massachusetts, USA. [2] Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA. [3] [4].
  • Heiser LM; 1] Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon, USA. [2].
  • Georgii E; 1] Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Espoo, Finland. [2].
  • Gönen M; Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Espoo, Finland.
  • Menden MP; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK.
  • Wang NJ; Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon, USA.
  • Bansal M; Department of Systems Biology, Center for Computational Biology and Bioinformatics, Columbia University, New York, New York, USA.
  • Ammad-ud-din M; Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Espoo, Finland.
  • Hintsanen P; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Khan SA; Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Espoo, Finland.
  • Mpindi JP; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Kallioniemi O; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Honkela A; Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland.
  • Aittokallio T; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Wennerberg K; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
  • Collins JJ; 1] Howard Hughes Medical Institute, Boston University, Boston, Massachusetts, USA. [2] Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA. [3] Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA.
  • Gallahan D; National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
  • Singer D; National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
  • Saez-Rodriguez J; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK.
  • Kaski S; 1] Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Espoo, Finland. [2] Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland.
  • Gray JW; Department of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon, USA.
  • Stolovitzky G; IBM T.J. Watson Research Center, IBM, Yorktown Heights, New York, USA.
Nat Biotechnol ; 32(12): 1202-12, 2014 Dec.
Article in En | MEDLINE | ID: mdl-24880487
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance, Neoplasm / Gene Expression Profiling / Neoplasms / Antineoplastic Agents Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2014 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance, Neoplasm / Gene Expression Profiling / Neoplasms / Antineoplastic Agents Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nat Biotechnol Journal subject: BIOTECNOLOGIA Year: 2014 Document type: Article