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MCPeSe: Monte Carlo penalty selection for graphical lasso
MOTIVATION: Graphical lasso (Glasso) is a widely used tool for identifying gene regulatory networks in systems biology. However, its computational efficiency depends on the choice of regularization parameter (tuning parameter), and selecting this parameter can be highly time consuming. Although full...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097680/ https://www.ncbi.nlm.nih.gov/pubmed/32805018 http://dx.doi.org/10.1093/bioinformatics/btaa734 |