Utilizing machine learning with knockoff filtering to extract significant metabolites in Crohn's disease with a publicly available untargeted metabolomics dataset.

Utilizing machine learning with knockoff filtering to extract significant metabolites in Crohn's disease with a publicly available untargeted metabolomics dataset.

Metabolomic data processing pipelines have been improving in recent years, allowing for greater feature extraction and identification. Lately, machine learning and robust statistical techniques to control false discoveries are being incorporated into metabolomic data analysis. In this paper, we intr...

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Autores principales: Shoaib Bin Masud, Conor Jenkins, Erika Hussey, Seth Elkin-Frankston, Phillip Mach, Elizabeth Dhummakupt, Shuchin Aeron
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/ff97c7d7b98d40f8b88205d0084b8322
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