Multiscale Graph Correlation
A Powerful Testing Procedure
Multiscale Graph Correlation (MGC, pronounced "magic") is a nonparametric approach for independence and k-sample testing.
An easy-to-use package
A scalable solution
Our implementations are fast and powerful.
C. Shen et al. Discovering and Deciphering Relationships Across Disparate Data Modalities. eLife, 2019.
C. Shen, C. E. Priebe and J. T. Vogelstein. From Distance Correlation to Multiscale Graph Correlation. Journal of the American Statistical Association, 2018.
Y. Lee, C. Shen and J. T. Vogelstein. Network Dependence Testing via Diffusion Maps and Distance-Based Correlations. Biometrika, 2018.
C. Shen and J. T. Vogelstein. The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing. arXiv, 2018.
S. Wang et al. Signal Subgraph Estimation Via Vertex Screening. arXiv, 2018.