This paper is in the following e-collection/theme issue:

Theme Issue 2025: Artificial Intelligence in Oncology (8) Machine Learning (2029) New Methods (1119) Precision Medicine (150) Theme Issue: Machine Learning-Based Predictive Models Using Genomic Data (6)

Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80735, first published .
Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small Cohorts: Model Classification Study

Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small Cohorts: Model Classification Study

Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small Cohorts: Model Classification Study

Authors of this article:

Mahdieh Shabanian1 Author Orcid Image ;   Nima Pouladi1 Author Orcid Image ;   Liam Wilson1 Author Orcid Image ;   Mattia Prosperi2 Author Orcid Image ;   Yves A Lussier1, 3, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Mahdieh Shabanian   1 , MSc ;   Nima Pouladi   1 , PhD ;   Liam Wilson   1 , BSc ;   Mattia Prosperi   2 , PhD ;   Yves A Lussier   1, 3, 4 , MD

1 Biomedical Informatics, University of Utah, Salt Lake City, UT, United States

2 College of Public Health and Health Professions Dean's Office, University of Florida, Gainesville, FL, United States

3 Center for Genomic Medicine, University of Utah, Salt Lake City, UT, United States

4 Hunstman Cancer Cetner, University of Utah, Salt Lake City, UT, United States

Corresponding Author:

  • Yves A Lussier, MD
  • Biomedical Informatics
  • University of Utah
  • 421 Wakara Suit 140
  • Salt Lake City, UT 84108
  • United States
  • Phone: 1 7736143736
  • Email: lussier.y@gmail.com