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scPRINT

github.comtool

Pretrained on 50M cells for scRNA-seq denoising & zero imputation.

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Computational Biology
added
2026-10-10
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  1. scPRINT-2 github.com

    Next-generation single-cell foundation model pretrained on 350M+ cells across 22K+ datasets and 16 species for embeddings, denoising, annotation, gene-network inference, and cross-species transfer.

  2. Scanpy scanpy.readthedocs.io

    Python library for scRNA-seq analysis.

  3. ChromFound github.com

    Genome-aware scATAC-seq foundation model pretrained on 1.97M cells across tissues and disease contexts for zero-shot cell representations, annotation, and cross-omics prediction.

  4. Scanpy github.com
  5. scBERT github.com

    BERT-based foundation model pretrained on large-scale scRNA-seq data for cell type annotation.

  6. scGPT github.com

    Transformer-based foundation model pretrained on millions of single-cell profiles.

Computational Biology › Machine Learning Tasks and Models > LLM for Biology: “Pretrained on 50M cells for scRNA-seq denoising & zero imputation.”