Wenyu Wang

This study uses ReSisTrace to identify pre-sensitizing agents for FLT3 inhibitors in FLT3-ITD-positive AML by analyzing transcriptional signatures and validating compounds that enhance treatment efficacy.

This study introduces a gene essentiality signature to predict drug mechanisms of action and target interactions, showing improved accuracy over existing methods.

SynergyFinder Plus improves interpretation and annotation of drug combination screening data through updated methods and a web interface.

The paper introduces a deep learning framework for nucleus segmentation that uses image style transfer to adapt to new data without expert annotations, outperforming existing methods on diverse microscopy images.

The paper improves gene essentiality consistency between RNAi and CRISPR screens by integrating molecular features, resulting in a more accurate combined essentiality score.