James J. Lah

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies

TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data

Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis

Identification and therapeutic modulation of a pro-inflammatory subset of disease-associated-microglia in Alzheimer’s disease