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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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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2013
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| Sujets: | |
| Accès en ligne: | 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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