Single-Cell Model Hub
A curated collection of foundation models, virtual cells, and AI systems for single-cell biology — papers, code, and resources.
#Foundation Model
6
Foundation Model
scFoundation
Large-scale pre-trained model for single-cell transcriptomics with 100M parameters, trained on 50M+ cells.
Foundation Model
scGPT
Generative pre-trained transformer for single-cell biology. Pre-trained on 33M+ cells from CELLxGENE.
Foundation Model
UCE
Universal Cell Embedding — species-agnostic cell representation model for cross-species analysis.
Foundation Model
CELLxGENE Census Models
Foundation models from CZI, trained on CELLxGENE Census data (50M+ cells).
Geneformer-like
Geneformer
Context-aware foundation model for gene network predictions. Transfer learning from 30M single-cell transcriptomes.