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

11
scBaseCount
Foundation Model

scBaseCount

AI-powered automated curation platform for 500M+ single-cell data.

2026 · 05
WeChat
Foundation Model

Cell2Sentence

2024 · 10 Paper → GitHub →
scFoundation
Foundation Model

scFoundation

Large-scale pre-trained model for single-cell transcriptomics with 100M parameters, trained on 50M+ cells.

2024 · 06 100M params Paper → GitHub →
Foundation Model Gene Expression scFoundation
scGPT
Foundation Model

scGPT

Generative pre-trained transformer for single-cell biology. Pre-trained on 33M+ cells from CELLxGENE.

2024 · 02 ~300M params Paper → GitHub →
Foundation Model Gene Expression Transformer scGPT
Foundation Model

UCE: Universal Cell Embeddings

蛋白质语言模型+基因共表达双编码器,构建跨物种通用细胞嵌入空间

2023 · 11 Paper → GitHub →
Foundation Model

UCE

Universal Cell Embedding — species-agnostic cell representation model for cross-species analysis.

2023 · 11 Paper → GitHub →
Cross-species Foundation Model Gene Expression scRNA-seq
Foundation Model

SATURN

Cross-species single-cell foundation model using protein language models.

2023 · 11 Paper → GitHub →
Cross-species Foundation Model Gene Expression
Foundation Model

CELLxGENE Census Models

Foundation models from CZI, trained on CELLxGENE Census data (50M+ cells).

2023 · 07 Paper → GitHub →
Cell Atlas Foundation Model Gene Expression scRNA-seq
scBERT
Foundation Model

scBERT

BERT-based pre-trained model for single-cell transcriptomics with gene-level tokenization.

2022 · 09 ~100M params Paper → GitHub →
Gene Expression Masked Modeling scBERT
Stack
Foundation Model

Stack

In-context learning of single-cell biology