Article

Sample Size Requirements for Machine Learning Classification of Binary Outcomes in Bulk RNA-Seq Data

2025-08-21

Abstract excerpt

Bulk RNA sequencing data is often leveraged to build machine learning (ML)-based predictive models for classification of disease groups or subtypes, but the sample size needed to adequately train these models is unknown. We collected 27 experimental datasets from the Gene Expression Omnibus and the Cancer Genome Atlas. In 24/27 datasets, pseudo-data were simulated using Bayesian Network Generation. Three ML algori...

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Literature Corpus work: 890db618-e42a-59ee-8a1f-a2e4f6926628
DOI: 10.1101/2025.08.19.25333999

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