Anjana Sundarrajan

The paper identifies dynamic regulatory network hubs in human lineage specification using Perturb-Seq and constructs a deep learning model to predict perturbed TFs in patient transcriptomes.

This study benchmarks and optimizes Perturb-seq in human pluripotent stem cells, identifying shared regulatory networks during cardiomyocyte differentiation.

The paper identifies enhancers linked to congenital heart defects that, when repressed, impair human cardiomyocyte differentiation.