drug effects

AI4GH Seminar Series - Genome-scale Regression Analysis Reveals a Linear Relationship for Promoters and Enhancers After Combinatorial Drug Treatment

Trisevgeni Rapakoulia, Ph.D., Computer Science

Nov 7, 12:00 - 13:00

B2 R5220

machine learning bioinformatics Drug Combinations drug effects cancer

Drug combination therapy for the treatment of cancers and other multifactorial diseases has the potential of increasing the therapeutic effect while reducing the likelihood of drug resistance. In order to reduce the time and cost spent on comprehensive screens, methods are needed which can model additive effects of possible drug combinations.

Computational Analysis of Transcriptional Regulation after Single and Multiple Drug Administration.

Trisevgeni Rapakoulia, Ph.D., Computer Science

Jul 17, 10:00 - 12:00

B3 L5 R5209

Transcriptomics RNA genes drug effects breast cancer cell conversion

With the advances in transcriptomic analysis, the monitoring of genome-wide gene expression provides a powerful approach for determining the action of drugs. In this thesis, we analyzed the transcriptional responses of cells treated with drugs either alone or in combinations to explore their effects in two different applications: breast cancer therapy and cell conversion.