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SpiderLearner: An ensemble approach to Gaussian graphical model estimation

2021-07-14

Abstract excerpt

Multivariate biological data are often modeled using networks in which nodes represent a biological variable (e.g., genes) and edges represent associations (e.g., coexpression). A Gaussian graphical model (GGM), or partial correlation network, is an undirected graphical model in which a weighted edge between two nodes represents the magnitude of their partial correlation, and the absence of an edge indicates zero...

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Literature Corpus work
742214f0-f921-5e1f-9a67-1cc7b90de3f4
DOI
10.1101/2021.07.13.452248
Open publication

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SpiderLearner: An ensemble approach to Gaussian graphical model estimationDOI 10.1101/2021.07.13.452248
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