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Understanding causal relationships within Gene Regulatory Networks (GRNs) is essential for unraveling the gene interactions in cellular processes.
Causal discovery from heterogeneous/nonstationary data
Biwei Huang, Kun Zhang, Jiji Zhang, Joseph D. Ramsey, Ruben Sanchez-Romero, Clark Glymour, and Bernhard Schölkopf · 1903
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Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks
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Cell cycle gene regulation dynamics revealed by rna velocity and deep-learning
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Dyngfn: Towards bayesian inference of gene regulatory networks with gflownets, 2023
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