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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...

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Bibliografiske detaljer
Udgivet i:Biometrics
Main Authors: Bhadra, Anindya, Rao, Arvind, Baladandayuthapani, Veerabhadran
Format: Artigo
Sprog:Inglês
Udgivet: 2017
Fag:
Online adgang: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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