Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits.

ABSTRACT: Inference of directed biological networks is an important but notoriously challenging problem. We introduce inverse sparse regression (inspre), an approach to learning causal networks that leverages large-scale intervention-response data. Applied to 788 genes from the genome-wide perturb-seq dataset, inspre helps elucidate the network architecture of blood traits.

SUBMITTER: Brown BC 

PROVIDER: S-EPMC10614812 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature