dotears: Scalable, consistent DAG estimation using observational and interventional data

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I presented at the NIHGRI conference in both 2023 and 2024 about dotears, which learns causal gene regulatory networks from Perturb-seq data. The relevant paper is here. This was as part of the UCLA Genomic Analysis and Interpretation Training Grant (T-32).