ElliotXie/CASSIA

CASSIA: A multiagent llm based single cell Annottaion framework

45
/ 100
Emerging

CASSIA helps biologists, medical researchers, and bioinformaticians accurately identify cell types from single-cell RNA sequencing data. It takes your raw or processed marker gene data, along with tissue and species information, and uses advanced AI to produce precise, interpretable cell type annotations. This enhances the understanding of complex biological samples and disease mechanisms.

Use this if you need to reliably annotate cell types in your single-cell transcriptomics experiments and want to leverage AI for improved accuracy and speed.

Not ideal if your work does not involve single-cell analysis or if you prefer manual, expert-driven annotation without AI assistance.

single-cell-analysis bioinformatics cell-biology genomics biomedical-research
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 10 / 25

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Stars

85

Forks

6

Language

Python

License

MIT

Last pushed

Feb 07, 2026

Commits (30d)

0

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