Multi-omics machine learning to study host-microbiome interactions in early-onset colorectal cancer

Abstract The incidence of early-onset colorectal cancer (eoCRC) is rising, and its pathogenesis is not completely understood. We hypothesized that machine learning utilizing paired tissue microbiome and plasma metabolome features could uncover distinct host-microbiome associations between eoCRC and...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Thejus T. Jayakrishnan, Naseer Sangwan, Shimoli V. Barot, Nicole Farha, Arshiya Mariam, Shao Xiang, Federico Aucejo, Madison Conces, Kanika G. Nair, Smitha S. Krishnamurthi, Stephanie L. Schmit, David Liska, Daniel M. Rotroff, Alok A. Khorana, Suneel D. Kamath
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2024-07-01
Serier:	npj Precision Oncology
Online adgang:	https://doi.org/10.1038/s41698-024-00647-1
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!