Patricia Jaaks

Integrated cross-study datasets of genetic dependencies in cancer

The paper integrates two large CRISPR-Cas9 screens to improve the detection of gene dependencies and cancer vulnerabilities by addressing biases and batch effects.

Drug mechanism-of-action discovery through the integration of pharmacological and CRISPR screens

This study integrates drug sensitivity data with CRISPR screens to identify drug mechanisms and biomarkers for cancer therapy.

Stratification and prediction of drug synergy based on target functional similarity

The paper develops workflows to predict drug synergy based on target functional similarity and validates them in breast and colorectal cancer cell lines.

Patient-specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies

The paper develops patient-specific signaling pathway models using microfluidic screenings and logic-based modeling to predict personalized cancer therapies.