The ‘un-shrunk’ partial correlation in Gaussian graphical models

The ‘un-shrunk’ partial correlation in Gaussian graphical models

Abstract Background In systems biology, it is important to reconstruct regulatory networks from quantitative molecular profiles. Gaussian graphical models (GGMs) are one of the most popular methods to this end. A GGM consists of nodes (representing the transcripts, metabolites or proteins) inter-con...

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Bibliographic Details
Main Authors: Victor Bernal, Rainer Bischoff, Peter Horvatovich, Victor Guryev, Marco Grzegorczyk
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Gaussian graphical models
Partial correlations
Shrinkage
Gene regulatory networks
Online Access:https://doi.org/10.1186/s12859-021-04313-2

Internet

https://doi.org/10.1186/s12859-021-04313-2

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