Christopher J. Kemp

The paper identifies human gene modules enriched for genetic interactions using a combinatorial knockout platform and validates their conservation and rewiring across cancer cell lines.

SL-Cloud is a cloud-based resource that facilitates the prediction and comparison of context-specific synthetic lethal interactions using multi-omic datasets.

The paper develops a Functional Module States framework to predict drug sensitivity by analyzing transcriptional states from gene expression data in breast cancer cell lines.