Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data
Proc. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningWe thank members of the Korem group for useful discussions. We are grateful to G. D. Poore, C. Martino, R. Knight, R. Straussman and I. Livyatan for assistance with analyzing and interpreting data from their studies, and to R. Straussman and I. Livyatan for helpful comments on the paper. In general, we thank all authors and participants involved in the generation of all data used in this study.
Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USADivision of Infectious Diseases, Columbia University Irving Medical Center, New York, NY, USADepartment of Dermatology, Columbia University Irving Medical Center, New York, NY, USADepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USADepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USADepartment of Earth...
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