Drug Response Prediction as a Link Prediction Problem.

ABSTRACT: Drug response prediction is a well-studied problem in which the molecular profile of a given sample is used to predict the effect of a given drug on that sample. Effective solutions to this problem hold the key for precision medicine. In cancer research, genomic data from cell lines are often utilized as features to develop machine learning models predictive of drug response. Molecular networks provide a functional context for the integration of genomic features, thereby resulting in robust and reproducible predictive models. However, inclusion of network data increases dimensionality and poses additional challenges for common machine learning tasks. To overcome these challenges, we here formulate drug response prediction as a link prediction problem. For this purpose, we represent drug re

SUBMITTER: Stanfield Z 

PROVIDER: S-EPMC5220354 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature