AI RESEARCH
Robust gene prioritization for Dietary Restriction via Fast-mRMR Feature Selection techniques
arXiv CS.LG
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ArXi:2511.21211v3 Announce Type: replace Gene prioritization (identifying genes potentially associated with a biological process) is increasingly tackled with Artificial Intelligence. However, existing methods struggle with the high dimensionality and incomplete labelling of biomedical data. This work proposes a robust and efficient pipeline that leverages Fast-mRMR Feature Selection to retain only relevant, non-redundant features for classifiers, building simpler, interpretable and efficient models.