Deciphering Pleiotropy with Sparse Learning

Published: Nov 21, 2021

Genes can participate in multiple independent biological functions, a foundational genetic principle known as pleiotropy. We develop a sparse dictionary learning approach to reason about pleiotropy from high-dimensional gene perturbation datasets. Join us at MLCB 2021 and NeurIPS’21 LMRL to learn about our approach.

Zitnik Lab  ·  Harvard  ·  Department of Biomedical Informatics