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SCNIC: Sparse correlation network investigation for compositional data

Microbiome studies are often limited by a lack of statistical power due to small sample sizes and a large number of features. This problem is exacerbated in correlative studies of multi‐omic datasets. Statistical power can be increased by finding and summarizing modules of correlated observations, w...

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Detalles Bibliográficos
Autores principales: Shaffer, Michael, Thurimella, Kumar, Sterrett, John D., Lozupone, Catherine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744196/
https://www.ncbi.nlm.nih.gov/pubmed/36001047
http://dx.doi.org/10.1111/1755-0998.13704

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