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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bin Masud, Shoaib, Jenkins, Conor, Hussey, Erika, Elkin-Frankston, Seth, Mach, Phillip, Dhummakupt, Elizabeth, Aeron, Shuchin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320926/
https://www.ncbi.nlm.nih.gov/pubmed/34324558
http://dx.doi.org/10.1371/journal.pone.0255240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320926/
https://www.ncbi.nlm.nih.gov/pubmed/34324558
http://dx.doi.org/10.1371/journal.pone.0255240

Ejemplares similares