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A new lab preprint is up: Work led by our MSc student Jan Sprengel comparing Interventional Causal Structure Learning Algorithms for Gene Regulatory Network Inference from single cell CRISPR perturbation screens 👇 www.biorxiv.org/content/10.6...
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www.biorxiv.org
Background: Causal structure learning offers a promising approach to studying gene regulation in cells, aiming to provide deeper mechanistic insights than purely association-based methods. Theoretical...
Comparison of Interventional Causal Structure Learning Algorithms for Gene Regulatory Network Inference
Britta Velten