Article

AIMarkerFinder: AI-Assisted Marker Discovery Based on an Integrated Approach of Autoencoders and Kolmogorov-Arnold Networks

2025-11-24

Abstract excerpt

In modern bioinformatics, the analysis of high-dimensional data (genomic, metabolomic, etc.) remains a critical challenge due to the "curse of dimensionality," where feature redundancy reduces classification efficiency and model interpretability. This study introduces a novel method, AIMarkerFinder, for analyzing metabolomic data to identify key biomarkers. The method is based on a denoising autoencoder...

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Literature Corpus work: 47cce05f-5547-515e-9a29-f107af845458
DOI: 10.20944/preprints202511.1705.v1

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