Statistical Workflow for Feature Selection in Human Metabolomics Data

High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity underlying human health and disease. Large-scale metabolomics data sources, generated using either targeted or nontargeted platforms, ar...

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Detalles Bibliográficos
Autores principales: Antonelli, Joseph, Claggett, Brian L., Henglin, Mir, Kim, Andy, Ovsak, Gavin, Kim, Nicole, Deng, Katherine, Rao, Kevin, Tyagi, Octavia, Watrous, Jeramie D., Lagerborg, Kim A., Hushcha, Pavel V., Demler, Olga V., Mora, Samia, Niiranen, Teemu J., Pereira, Alexandre C., Jain, Mohit, Cheng, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680705/
https://www.ncbi.nlm.nih.gov/pubmed/31336989
http://dx.doi.org/10.3390/metabo9070143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6680705/
https://www.ncbi.nlm.nih.gov/pubmed/31336989
http://dx.doi.org/10.3390/metabo9070143

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