Predicting tumor cell line response to drug pairs with deep learning

被引：0
|
作者：
Fangfang Xia
Maulik Shukla
Thomas Brettin
Cristina Garcia-Cardona
Judith Cohn
Jonathan E. Allen
Sergei Maslov
Susan L. Holbeck
James H. Doroshow
Yvonne A. Evrard
Eric A. Stahlberg
Rick L. Stevens
机构：
[1] Computing,
[2] Environment and Life Sciences,undefined
[3] Argonne National Laboratory,undefined
[4] Computation Institute,undefined
[5] The University of Chicago,undefined
[6] Center for Nonlinear Studies,undefined
[7] Los Alamos National Laboratory,undefined
[8] Computer Science,undefined
[9] Los Alamos National Laboratory,undefined
[10] Computation Directorate,undefined
[11] Lawrence Livermore National Laboratory,undefined
[12] Department of Bioengineering and Carl R. Woese Institute for Genomic Biology,undefined
[13] University of Illinois at Urbana-Champaign,undefined
[14] Developmental Therapeutics Branch,undefined
[15] National Cancer Institute,undefined
[16] Data Science and Information Technology Program,undefined
[17] Frederick National Laboratory for Cancer Research,undefined
来源：
BMC Bioinformatics | / 19卷
关键词：
Machine learning; Deep learning; Combination therapy; in silico drug screening;
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