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Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Feature selection is indispensable in microbiome data analysis, but it can be particularly challenging as microbiome data sets are high dimensional, underdetermined, sparse and compositional. Great efforts have recently been made on developing new methods for feature selection that handle the above...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787628/ https://www.ncbi.nlm.nih.gov/pubmed/33914902 http://dx.doi.org/10.1111/biom.13481 |