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Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data.
Austin, George I; Park, Heekuk; Meydan, Yoli; Seeram, Dwayne; Sezin, Tanya; Lou, Yue Clare; Firek, Brian A; Morowitz, Michael J; Banfield, Jillian F; Christiano, Angela M; Pe'er, Itsik; Uhlemann, Anne-Catrin; Shenhav, Liat; Korem, Tal.
Afiliación
  • Austin GI; Department of Computer Science, Columbia University, New York, NY, USA.
  • Park H; Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
  • Meydan Y; Division of Infectious Diseases, Columbia University Irving Medical Center, New York, NY, USA.
  • Seeram D; Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
  • Sezin T; Division of Infectious Diseases, Columbia University Irving Medical Center, New York, NY, USA.
  • Lou YC; Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.
  • Firek BA; Department of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
  • Morowitz MJ; Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Banfield JF; Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Christiano AM; Department of Earth and Planetary Science, University of California, Berkeley, CA, USA.
  • Pe'er I; Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA.
  • Uhlemann AC; Innovative Genomics Institute, University of California, Berkeley, CA, USA.
  • Shenhav L; Chan Zuckerberg Biohub, San Francisco, CA, USA.
  • Korem T; Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.
Nat Biotechnol ; 41(12): 1820-1828, 2023 Dec.
Article en En | MEDLINE | ID: mdl-36928429
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microbiota / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microbiota / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos