Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data

Austin, G. I., Park, H., Meydan, Y., Seeram, D., Sezin, T., Lou, Y. C., Firek, B. A., Morowitz, M. J., Banfield, J. F., Christiano, A. M., Pe’er, I., Uhlemann, A.-C., Shenhav, L., & Korem, T. (2023). Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data. Nature Biotechnology, 41(12), 1820–1828. https://doi.org/10.1038/s41587-023-01696-w
Authors:
George I. Austin
Heekuk Park
Yoli Meydan
Dwayne Seeram
Tanya Sezin
Yue Clare Lou
Brian A. Firek
Michael J. Morowitz
Jillian F. Banfield
Angela M. Christiano
Itsik Pe’er
Anne-Catrin Uhlemann
Liat Shenhav
Tal Korem
Affiliated Authors:
George I. Austin
Heekuk Park
Yoli Meydan
Dwayne Seeram
Tanya Sezin
Angela M. Christiano
Itsik Pe’er
Anne-Catrin Uhlemann
Tal Korem
Subjects:
Microbiota (MeSH)
Neoplasms (MeSH)
Publication Type:
Article
Unique ID:
10.1038/s41587-023-01696-w
PMID:
Publication Date:
Data Source:
Scopus

Record Created: