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

2025-06-07

Abstract excerpt

<h4>Background</h4> Ninety percent of the 65,000 human diseases are infrequent, collectively affecting ∼ 400 million people, substantially limiting cohort accrual. This low prevalence constrains the development of robust transcriptome-based machine learning (ML) classifiers. Standard data-driven classifiers typically require cohorts of over 100 subjects per group to achieve clinical accuracy while managing high-d...

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Literature Corpus work
44221605-8eff-5e76-a886-4b06ca55ece1
DOI
10.1101/2025.06.03.657721
Open publication

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Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small CohortsDOI 10.1101/2025.06.03.657721
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