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Housekeeping Gene Expression Normalization in Transcriptomics Mitigates Data Leakage in Machine Learning Models

2026-04-24

Abstract excerpt

<h4>Background</h4> Inappropriate normalization can lead to data leakage and overfitting in machine learning models. Accurately identifying housekeeping genes (HKGs) can overcome this problem and is crucial for normalizing gene expression data, particularly in RNA-Seq experiments. <h4>Results</h4> First, we demonstrate that the gene expression of commonly used HKGs significantly changes over time due to immunosu...

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Literature Corpus work
25203213-34c7-534b-ace1-fa7533f23628
DOI
10.64898/2026.04.24.720637
Open publication

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Housekeeping Gene Expression Normalization in Transcriptomics Mitigates Data Leakage in Machine Learning ModelsDOI 10.64898/2026.04.24.720637
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