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A transformer-based foundation model pretrained on millions of single-cell profiles for generative AI tasks in single-cell multi-omics.
A 100M-parameter foundation model for single-cell transcriptomics, enabling gene expression enhancement, drug response prediction, and perturbation analysis.
A zero-shot foundation model for generating universal embeddings from single-cell gene expression data.
A large transformer foundation model for single-cell RNA sequencing data analysis, including gene network inference, denoising, and cell annotation.
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