Kanupriya Tiwari

This paper evaluates perturbation prediction models under out-of-distribution conditions and finds they perform poorly, highlighting the need for better generalization.

ASTA-P is a pipeline for detecting, quantifying, and analyzing complex alternative splicing events, showing improved performance over existing methods in simulated data and revealing novel splicing patterns in real data.