GeneNetTools: tests for Gaussian graphical models with shrinkage

MOTIVATION: Gaussian graphical models (GGMs) are network representations of random variables (as nodes) and their partial correlations (as edges). GGMs overcome the challenges of high-dimensional data analysis by using shrinkage methodologies. Therefore, they have become useful to reconstruct gene r...

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Detalles Bibliográficos
Autores principales: Bernal, Victor, Soancatl-Aguilar, Venustiano, Bulthuis, Jonas, Guryev, Victor, Horvatovich, Peter, Grzegorczyk, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665865/
https://www.ncbi.nlm.nih.gov/pubmed/36179082
http://dx.doi.org/10.1093/bioinformatics/btac657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665865/
https://www.ncbi.nlm.nih.gov/pubmed/36179082
http://dx.doi.org/10.1093/bioinformatics/btac657

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