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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Multi-omics machine learning to study host-microbiome interactions in early-onset colorectal cancer ; volume:8 ; number:1 ; day:17 ; month:7 ; year:2024 ; pages:1-8 ; date:12.2024
npj precision oncology ; 8, Heft 1 (17.7.2024), 1-8, 12.2024

Creator: Jayakrishnan, Thejus T.
Sangwan, Naseer
Barot, Shimoli V.
Farha, Nicole
Mariam, Arshiya
Xiang, Shao
Aucejo, Federico
Conces, Madison
Nair, Kanika G.
Krishnamurthi, Smitha S.
Schmit, Stephanie L.
Liska, David
Rotroff, Daniel M.
Khorana, Alok A.
Kamath, Suneel D.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41698-024-00647-1

URN: urn:nbn:de:101:1-2410080924231.250077870453

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Associated

Jayakrishnan, Thejus T.
Sangwan, Naseer
Barot, Shimoli V.
Farha, Nicole
Mariam, Arshiya
Xiang, Shao
Aucejo, Federico
Conces, Madison
Nair, Kanika G.
Krishnamurthi, Smitha S.
Schmit, Stephanie L.
Liska, David
Rotroff, Daniel M.
Khorana, Alok A.
Kamath, Suneel D.
SpringerLink (Online service)

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

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