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Robust Gaussian Graphical Modeling via l(1) Penalization
Gaussian graphical models have been widely used as an effective method for studying the conditional independency structure among genes and for constructing genetic networks. However, gene expression data typically have heavier tails or more outlying observations than the standard Gaussian distributi...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2012
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3535542/ https://ncbi.nlm.nih.gov/pubmed/23020775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2012.01785.x |
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