Swapnil Keshari

FOCAL couples interpretable machine learning with gene regulatory networks to identify regulatory subnetworks underlying cell fate decisions in B and T cells.

This study identifies a core gene program underlying Tfh cell differentiation using a multi-scale network systems approach, revealing a novel role for IL-12 in regulating Tfh precursor differentiation.

This study shows Blimp1 restricts clonal dominance in germinal center B cells by controlling chromatin accessibility and BCR signaling during the light-to-dark zone transition.

The paper expands the DNA motif lexicon of transcriptional regulatory code by identifying composite elements and using a deep learning model to predict their activity and impact of variants.

The paper analyzes co-authorship networks using interpretable machine learning to identify research trends and patterns in scientific collaboration over time.