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Regularized estimation of large-scale gene association networks using graphical Gaussian models

BACKGROUND: Graphical Gaussian models are popular tools for the estimation of (undirected) gene association networks from microarray data. A key issue when the number of variables greatly exceeds the number of samples is the estimation of the matrix of partial correlations. Since the (Moore-Penrose)...

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Detalles Bibliográficos
Autores principales:	Krämer, Nicole, Schäfer, Juliane, Boulesteix, Anne-Laure
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2009
Materias:	Research article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808166/ https://www.ncbi.nlm.nih.gov/pubmed/19930695 http://dx.doi.org/10.1186/1471-2105-10-384

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