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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2019
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| Materias: | |
| 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 |