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Causally validated transcription-factor binding features reveal that genomic language models can provide interpretable insights beyond mere motif presence.
MS-RCGR not only preserves complete sequence information but also enhances classification performance across diverse analytical paradigms, making it a game-changer for biological sequence analysis.