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Predicting tumor cell line response to drug pairs with deep learning.
Xia, Fangfang; Shukla, Maulik; Brettin, Thomas; Garcia-Cardona, Cristina; Cohn, Judith; Allen, Jonathan E; Maslov, Sergei; Holbeck, Susan L; Doroshow, James H; Evrard, Yvonne A; Stahlberg, Eric A; Stevens, Rick L.
Affiliation
  • Xia F; Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL, USA. fangfang@anl.gov.
  • Shukla M; Computation Institute, The University of Chicago, Chicago, IL, USA. fangfang@anl.gov.
  • Brettin T; Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL, USA.
  • Garcia-Cardona C; Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL, USA.
  • Cohn J; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, USA.
  • Allen JE; Computer Science, Los Alamos National Laboratory, Los Alamos, NM, USA.
  • Maslov S; Computation Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA.
  • Holbeck SL; Department of Bioengineering and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
  • Doroshow JH; Developmental Therapeutics Branch, National Cancer Institute, Frederick, MD, USA.
  • Evrard YA; Developmental Therapeutics Branch, National Cancer Institute, Frederick, MD, USA.
  • Stahlberg EA; Developmental Therapeutics Branch, National Cancer Institute, Frederick, MD, USA.
  • Stevens RL; Data Science and Information Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
BMC Bioinformatics ; 19(Suppl 18): 486, 2018 Dec 21.
Article in En | MEDLINE | ID: mdl-30577754
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Full text: 1 Database: MEDLINE Main subject: Drug Evaluation, Preclinical / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Year: 2018 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Drug Evaluation, Preclinical / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Year: 2018 Type: Article