notears

Interactive Streamlit app that runs over 15 causal discovery algorithms with method recommendation and bootstrap confidence graphs.

Replication package for "CAGate: Cluster-Aware Gating Improves the Precision of Causal Discovery in Heterogeneous Cancer Transcriptomes"

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

World-class causal-discovery toolkit (GES/PC/NOTEARS): deterministic, offline, CPU-only. Author 晨星.

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.

DagForge: 确定性因果发现系统（NOTEARS 旗舰 + PC + 离线兜底）。。

Replication package for: What is shared across 33 cancer types is the tissue, not the tumour: a non-malignant axis recovered only from aligned gene panels

🧠 Run over 15 causal discovery algorithms locally with Causal App, an easy-to-use tool built on Streamlit for effective causal analysis.