RIGPS combines ensemble pre-filtering with multi-agent reinforcement learning to select compact gene panels, reporting improved clustering and annotation across 24 scRNA-seq datasets, though the final selection step may leak evaluation labels.
Topological and geometric analysis of cell states in single-cell transcriptomic data,
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Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective
RIGPS combines ensemble pre-filtering with multi-agent reinforcement learning to select compact gene panels, reporting improved clustering and annotation across 24 scRNA-seq datasets, though the final selection step may leak evaluation labels.