Interactive Streamlit app that runs over 15 causal discovery algorithms with method recommendation and bootstrap confidence graphs.
Replication package for CAGate: Cluster-Aware Gating Rescues Differentiable Causal Discovery in Cancer Genomics
10. Grafovi zavisnosti co-occurrence graph, correlation graph, MI graph, Bayesian network, Markov network, PC algorithm, FCI, GES, NOTEARS, LiNGAM, ICA-LiNGAM, Louvain/Leiden communities, modularity, PageRank, betweenness/closeness/eigenvector centrality, motif/subgraph mining, graphlet
Auditing continuous-optimization DAG learners (NOTEARS, DAGMA): when high benchmark scores are really varsortability, what survives standardization, and a directed↔undirected bridge on real protein-signaling data.
Tissue-Specificity of Causal Gene Regulatory Networks Across 33 Cancers
🧠 Run over 15 causal discovery algorithms locally with Causal App, an easy-to-use tool built on Streamlit for effective causal analysis.
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