Author
邓增
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Recent research
- AI & ComputingOpen access
MPR-MOPSO-ASFS: A Stable Multi-Objective Feature Selection Algorithm for Metabolomics
Background: Metabolomics data is inherently characterized by high dimensionality and small sample size. Existing multi-objective particle swarm optimization (MOPSO)-based feature selection algorithms suffer from two critical limitations: they generally neglect the stability of se...