Multi-omics machine learning to study host-microbiome interactions in early-onset colorectal cancer
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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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
- Urheber
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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.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41698-024-00647-1
- URN
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urn:nbn:de:101:1-2410080924231.250077870453
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
Datenpartner
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Beteiligte
- 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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