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Structure-constrained sparse canonical correlation analysis with an application to microbiome data analysis

Motivated by studying the association between nutrient intake and human gut microbiome composition, we developed a method for structure-constrained sparse canonical correlation analysis (ssCCA) in a high-dimensional setting. ssCCA takes into account the phylogenetic relationships among bacteria, whi...

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Autors principals: Chen, Jun, Bushman, Frederic D., Lewis, James D., Wu, Gary D., Li, Hongzhe
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2013
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3590923/
https://ncbi.nlm.nih.gov/pubmed/23074263
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxs038
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