SCCAF/sccaf
Single-Cell Clustering Assessment Framework
SCCAF helps biologists and researchers automatically identify different cell types or states from single-cell RNA sequencing (scRNA-seq) data. It takes your raw gene expression profiles from single cells and outputs distinct cell groups, each characterized by a weighted list of unique feature genes. This tool is designed for anyone working with scRNA-seq data who needs to accurately categorize cell populations.
108 stars. No commits in the last 6 months.
Use this if you need an automated way to discover and characterize different cell types or states within your single-cell RNA sequencing data.
Not ideal if your data has not been pre-processed to exclude doublets or effectively regress batch effects.
Stars
108
Forks
23
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 27, 2023
Commits (30d)
0
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