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George I Austin

Showing results (1-10 of 12) with videos related to

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Biorxiv : the Preprint Server for Biology|January 20, 2025
Compositional transformations can reasonably introduce phenotype-associated values into sparse featuresGeorge I Austin, Tal Korem
Msystems|May 2, 2025
Compositional transformations can reasonably introduce phenotype-associated values into sparse featuresGeorge I Austin, Tal Korem
The Journal of Infectious Diseases|August 27, 2024
Planning and Analyzing a Low-Biomass Microbiome Study: A Data Analysis PerspectiveGeorge I Austin, Tal Korem
Arxiv|June 17, 2024
Distributional bias compromises leave-one-out cross-validationGeorge I Austin, Itsik Pe'er, Tal Korem
Science Advances|November 28, 2025
Distributional bias compromises leave-one-out cross-validationGeorge I Austin, Itsik Pe'er, Tal Korem
American Journal of Obstetrics & Gynecology MFM|April 18, 2026
Reply to Du: Differences in experimental setting make validation harderAndrew Batuure, George I Austin, Tal Korem
Biorxiv : the Preprint Server for Biology|February 26, 2024
Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction modelsGeorge I Austin, Aya Brown Kav, Heekuk Park, et al.
Nature Microbiology|March 28, 2025
Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction modelsGeorge I Austin, Aya Brown Kav, Shahd ElNaggar, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|December 20, 2023
The Salivary Microbiome and Predicted Metabolite Production Are Associated with Barrett's Esophagus and High-Grade Dysplasia or AdenocarcinomaQuinn S Solfisburg, Federico Baldini, Brittany Baldwin-Hunter, et al.
Nature Biotechnology|March 17, 2023
Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome dataGeorge I Austin, Heekuk Park, Yoli Meydan, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Biorxiv : the Preprint Server for Biology|January 20, 2025
Compositional transformations can reasonably introduce phenotype-associated values into sparse featuresGeorge I Austin, Tal Korem
Msystems|May 2, 2025
Compositional transformations can reasonably introduce phenotype-associated values into sparse featuresGeorge I Austin, Tal Korem
The Journal of Infectious Diseases|August 27, 2024
Planning and Analyzing a Low-Biomass Microbiome Study: A Data Analysis PerspectiveGeorge I Austin, Tal Korem
Arxiv|June 17, 2024
Distributional bias compromises leave-one-out cross-validationGeorge I Austin, Itsik Pe'er, Tal Korem
Science Advances|November 28, 2025
Distributional bias compromises leave-one-out cross-validationGeorge I Austin, Itsik Pe'er, Tal Korem
American Journal of Obstetrics & Gynecology MFM|April 18, 2026
Reply to Du: Differences in experimental setting make validation harderAndrew Batuure, George I Austin, Tal Korem
Biorxiv : the Preprint Server for Biology|February 26, 2024
Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction modelsGeorge I Austin, Aya Brown Kav, Heekuk Park, et al.
Nature Microbiology|March 28, 2025
Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction modelsGeorge I Austin, Aya Brown Kav, Shahd ElNaggar, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|December 20, 2023
The Salivary Microbiome and Predicted Metabolite Production Are Associated with Barrett's Esophagus and High-Grade Dysplasia or AdenocarcinomaQuinn S Solfisburg, Federico Baldini, Brittany Baldwin-Hunter, et al.
Nature Biotechnology|March 17, 2023
Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome dataGeorge I Austin, Heekuk Park, Yoli Meydan, et al.
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