A Partial Correlation Screening Approach for Controlling the False Positive Rate in Sparse Gaussian Graphical Models

Gaussian Graphical Models (GGMs) are extensively used in many research areas, such as genomics, proteomics, neuroimaging, and psychology, to study the partial correlation structure of a set of variables. This structure is visualized by drawing an undirected network, in which the variables constitute...

Descripción completa

Detalles Bibliográficos
Autores principales: Lafit, Ginette, Tuerlinckx, Francis, Myin-Germeys, Inez, Ceulemans, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882820/
https://www.ncbi.nlm.nih.gov/pubmed/31780817
http://dx.doi.org/10.1038/s41598-019-53795-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882820/
https://www.ncbi.nlm.nih.gov/pubmed/31780817
http://dx.doi.org/10.1038/s41598-019-53795-x

Ejemplares similares