Wenjie Shu

iFORM is a tool that improves the accuracy and sensitivity of TF motif scanning by integrating results from multiple motif discovery programs.

The paper identifies and characterizes HOT regions across human cell types, showing their association with developmental genes and unique epigenetic features.

PEDLA uses deep learning to predict enhancers from heterogeneous data, achieving high accuracy across multiple cell types.