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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| 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 |