scLLM-DSC integrates a knowledge-driven semantic view from gene priors with a structure-aware topological view through cross-modal contrastive learning and reports higher clustering accuracy than eleven baselines on scRNA-seq data.
scmamba: A scalable foundation model for single-cell multi-omics integration beyond highly variable feature selection.arXiv preprint arXiv:2506.20697,
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scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing
scLLM-DSC integrates a knowledge-driven semantic view from gene priors with a structure-aware topological view through cross-modal contrastive learning and reports higher clustering accuracy than eleven baselines on scRNA-seq data.