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Inferring network structure in non-normal and mixed discrete-continuous genomic data
Inferring dependence structure through undirected graphs is crucial for uncovering the major modes of multivariate interaction among high-dimensional genomic markers that are potentially associated with cancer. Traditionally, conditional independence has been studied using sparse Gaussian graphical...
Gardado en:
| Publicado en: | Biometrics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5654714/ https://ncbi.nlm.nih.gov/pubmed/28437848 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12711 |
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