Unexpected Actors in Inflammatory Bowel Disease Revealed by Machine Learning from Whole-Blood Transcriptomic Data

Although big data from transcriptomic analyses have helped transform our understanding of inflammatory bowel disease (IBD), they remain underexploited. We hypothesized that the application of machine learning using lasso regression to transcriptomic data from IBD patients and controls can help ident...

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Detalles Bibliográficos
Autores principales: Nowak, Jan K., Szymańska, Cyntia J., Glapa-Nowak, Aleksandra, Duclaux-Loras, Rémi, Dybska, Emilia, Ostrowski, Jerzy, Walkowiak, Jarosław, Adams, Alex T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498489/
https://www.ncbi.nlm.nih.gov/pubmed/36140740
http://dx.doi.org/10.3390/genes13091570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498489/
https://www.ncbi.nlm.nih.gov/pubmed/36140740
http://dx.doi.org/10.3390/genes13091570

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