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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...

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Detaylı Bibliyografya
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2024-07-01
Seri Bilgileri:npj Precision Oncology
Online Erişim:https://doi.org/10.1038/s41698-024-00647-1
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