Application of transfer learning for cancer drug sensitivity prediction

Application of transfer learning for cancer drug sensitivity prediction

Abstract Background In precision medicine, scarcity of suitable biological data often hinders the design of an appropriate predictive model. In this regard, large scale pharmacogenomics studies, like CCLE and GDSC hold the promise to mitigate the issue. However, one cannot directly employ data from...

Full description

Bibliographic Details
Main Authors: Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Drug sensitivity prediction
Pharmacogenomic studies
CCLE
GDSC
Transfer learning
Nonlinear mapping
Online Access:http://link.springer.com/article/10.1186/s12859-018-2465-y

Internet

http://link.springer.com/article/10.1186/s12859-018-2465-y

Similar Items