Predicting tumor cell line response to drug pairs with deep learning

Predicting tumor cell line response to drug pairs with deep learning

Abstract Background The National Cancer Institute drug pair screening effort against 60 well-characterized human tumor cell lines (NCI-60) presents an unprecedented resource for modeling combinational drug activity. Results We present a computational model for predicting cell line response to a subs...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Machine learning
Deep learning
Combination therapy
in silico drug screening
Online Access:http://link.springer.com/article/10.1186/s12859-018-2509-3

Internet

http://link.springer.com/article/10.1186/s12859-018-2509-3

Similar Items