HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis.

ABSTRACT: Heterogeneity is a hallmark of many complex human diseases, and unsupervised heterogeneity analysis has been extensively conducted using high-throughput molecular measurements and histopathological imaging features. "Classic" heterogeneity analysis has been based on simple statistics such as mean, variance, and correlation. Network-based analysis takes interconnections as well as individual variable properties into consideration and can be more informative. Several Gaussian graphical model (GGM)-based heterogeneity analysis techniques have been developed, but friendly and portable software is still lacking. To facilitate more extensive usage, we develop the R package HeteroGGM, which conducts GGM-based heterogeneity analysis using the advanced penaliztaion techniques, can provide informati

SUBMITTER: Ren M 

PROVIDER: S-EPMC8479656 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature