Phenotype-driven identification of modules in a hierarchical map of multifluid metabolic correlations

The identification of phenotype-driven network modules in complex, multifluid metabolomics data poses a considerable challenge for statistical analysis and result interpretation. This is the case for phenotypes with only few associations ('sparse' effects), but, in particular, for phenotyp...

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Detalhes bibliográficos
Publicado no:NPJ Syst Biol Appl
Main Authors: Do, Kieu Trinh, Pietzner, Maik, Rasp, David JNP, Friedrich, Nele, Nauck, Matthias, Kocher, Thomas, Suhre, Karsten, Mook-Kanamori, Dennis O., Kastenmüller, Gabi, Krumsiek, Jan
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5608949/
https://ncbi.nlm.nih.gov/pubmed/28948040
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41540-017-0029-9
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