Krzysztof Koras

SLIDE-VIP identifies synthetic lethal gene pairs in DNA damage repair, chromatin remodeling, and cell cycle using multi-omics data and eight statistical tests, reducing candidate pairs by 250-fold.

The paper develops a deep learning model called DEERS to predict kinase inhibitor efficacy in cancer cell lines, achieving high accuracy and providing interpretable insights into drug response mechanisms.

The paper evaluates feature selection strategies for drug sensitivity prediction, finding that prior knowledge-based methods outperform genome-wide approaches for drugs targeting specific genes and pathways.