scGPT:Reference Mapping Using Cell Embedding
Cui et al.
Efficiently map your data with the scGPT_human model. Leverage pre-trained embeddings in a zero-shot setting for quick, accurate cell analysis. Ideal for transferring cell type and disease condition metadata, this tool simplifies understanding cell compositions in new samples.
Example use case: Understand the cell composition of newly collected samples.
Technology: Transformers,
Limitations:
Example use case: Understand the cell composition of newly collected samples.
Technology: Transformers,
Limitations:
- Please note that the reference mapping is a new experimental feature.
- Some of the parameters are kept as default please see the reference tutorial.
Citation:
scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI Haotian Cui, Chloe Wang, Hassaan Maan, Kuan Pang, Fengning Luo, Bo Wang bioRxiv 2023.04.30.538439; doi: https://doi.org/10.1101/2023.04.30.538439.
Released: Nov-06-2023
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