The Prediction of Drug-Disease Correlation Based on Gene Expression Data.

ABSTRACT: The explosive growth of high-throughput experimental methods and resulting data yields both opportunity and challenge for selecting the correct drug to treat both a specific patient and their individual disease. Ideally, it would be useful and efficient if computational approaches could be applied to help achieve optimal drug-patient-disease matching but current efforts have met with limited success. Current approaches have primarily utilized the measureable effect of a specific drug on target tissue or cell lines to identify the potential biological effect of such treatment. While these efforts have met with some level of success, there exists much opportunity for improvement. This specifically follows the observation that, for many diseases in light of actual patient response, there is i

SUBMITTER: Cui H 

PROVIDER: S-EPMC5889901 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature