Single-Cell Model Hub
A curated collection of foundation models, virtual cells, and AI systems for single-cell biology — papers, code, and resources.
Featured Models
3scFoundation
Large-scale pre-trained model for single-cell transcriptomics with 100M parameters, trained on 50M+ cells.
scGPT
Generative pre-trained transformer for single-cell biology. Pre-trained on 33M+ cells from CELLxGENE.
Geneformer
Context-aware foundation model for gene network predictions. Transfer learning from 30M single-cell transcriptomes.
All Models
8scFoundation
Large-scale pre-trained model for single-cell transcriptomics with 100M parameters, trained on 50M+ cells.
scGPT
Generative pre-trained transformer for single-cell biology. Pre-trained on 33M+ cells from CELLxGENE.
Virtual Cell Models
Generative models for simulating single-cell responses to perturbations.
UCE
Universal Cell Embedding — species-agnostic cell representation model for cross-species analysis.
CELLxGENE Census Models
Foundation models from CZI, trained on CELLxGENE Census data (50M+ cells).
Geneformer
Context-aware foundation model for gene network predictions. Transfer learning from 30M single-cell transcriptomes.
scBERT
BERT-based pre-trained model for single-cell transcriptomics with gene-level tokenization.