Inference of directed biological networks is an important but notoriously challenging problem. We introduce , an approach to learning causal networks that leverages large-scale intervention-response data. Applied to 788 genes from the genome-wide perturb-seq dataset, helps elucidate the network architecture of blood traits.
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| http://dx.doi.org/10.1101/2023.10.13.562293 | DOI Listing |
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