Kai Tian

This paper introduces SLWise, a deep-learning model for predicting synthetic lethal interactions in specific cellular contexts, and SLAD-CE for analyzing their mechanisms, showing improved accuracy over existing methods.

This study uses a deep learning model to identify mutational signatures in metastatic breast cancer and link them to therapeutic targets.

The paper shows that CTCF's DNA binding domain forms dynamic clusters that interact with insulator proteins and avoid transcriptional activators, revealing a mechanism for its insulation function.