Predicting tumor cell line response to drug pairs with deep learning.

Abstract

Authors

• Fangfang Xia
  Computing, Environment, and Life Sciences Directorate, Argonne National Laboratory, Argonne, Illinois, USA.
• Maulik Shukla
  Computing, Environment, and Life Sciences Directorate, Argonne National Laboratory, Argonne, Illinois, USA.
• Thomas Brettin
  Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL, USA.
• Cristina Garcia-Cardona
  Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM, USA.
• Judith Cohn
  Computer Science, Los Alamos National Laboratory, Los Alamos, NM, USA.
• Jonathan E Allen
  Global Security Computing Applications Division, Lawrence Livermore National Laboratory, Livermore, CA, United States.
• Sergei Maslov
  Biology Department, Brookhaven National Laboratory, Upton, New York, USA.
• Susan L Holbeck
  Developmental Therapeutics Branch, National Cancer Institute, Frederick, MD, USA.
• James H Doroshow
  Developmental Therapeutics Branch, National Cancer Institute, Frederick, MD, USA.
• Yvonne A Evrard
  Developmental Therapeutics Branch, National Cancer Institute, Frederick, MD, USA.
• Eric A Stahlberg
  Data Science and Information Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
• Rick L Stevens
  Computer Science Department and Computation Institute, University of Chicago, Chicago, Illinois, USA.

Keywords

External Resources