Article

Synthetic Expansion of Gene Expression Data: Enhancing Predictive Modeling through Augmentation Techniques

2025-08-08

Abstract excerpt

<title>Abstract</title> <p>Background Gene expression microarrays offer valuable insights into disease mechanisms, yet their utility for predictive modeling is often constrained by small sample sizes. This study investigates the application of synthetic data augmentation techniques—particularly Gaussian noise injection—to expand two gene expression datasets (GDS3952 and GDS2771) and enhance model performance. Met...

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Literature Corpus work: 280b81b3-f0d0-57d1-8b95-5a77a0220424
DOI: 10.21203/rs.3.rs-6968473/v1

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