Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits.
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ABSTRACT:
SUBMITTER: Brown BC
PROVIDER: S-EPMC10614812 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Publications
Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits.
Brown Brielin C BC Morris John A JA Lappalainen Tuuli T Knowles David A DA
bioRxiv : the preprint server for biology 20231017
Inference of directed biological networks is an important but notoriously challenging problem. We introduce <i>inverse sparse regression (inspre)</i>, an approach to learning causal networks that leverages large-scale intervention-response data. Applied to 788 genes from the genome-wide perturb-seq dataset, <i>inspre</i> helps elucidate the network architecture of blood traits. ...[more]
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