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...

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Detalles Bibliográficos
Autores principales: Jiang, Lingjing, Haiminen, Niina, Carrieri, Anna‐Paola, Huang, Shi, Vázquez‐Baeza, Yoshiki, Parida, Laxmi, Kim, Ho‐Cheol, Swafford, Austin D., Knight, Rob, Natarajan, Loki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Biometric Practice
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

Internet

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

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