|Monday 22 October 2018|
|Events for day: Thursday 18 January 2018|
| 10:00 - 11:00 Seminar|
Gene isoforms as expression-based biomarkers predictive of drug response in vitro
Advances in genome-wide molecular profiling and high-throughput drug screening technologies offer a unique opportunity to identify novel biomarkers predictive of response to anticancer therapies. The vast majority of predictive biomarkers for targeted therapies are based on genetic aberrations or protein expressions, as opposed to transcriptomic biomarkers. However, the recent adoption of next-generation sequencing technologies enables accurate profiling of not only gene expression but also alternative and trans-spliced transcripts in pharmacogenomic studies. We applied multiple machine learning modeling techniques towards i ...