ttgump/scDeepCluster
scDeepCluster for Single Cell RNA-seq data
This tool helps biologists and geneticists categorize individual cells from single-cell RNA sequencing (scRNA-seq) data. It takes your raw gene expression counts for thousands of individual cells and groups them into distinct cell types or states. Researchers analyzing cell populations in tissues or experiments would use this to understand cellular heterogeneity.
105 stars. No commits in the last 6 months.
Use this if you need to identify and characterize different cell populations within your single-cell RNA-seq datasets.
Not ideal if you are looking for a general-purpose clustering tool for non-biological data or bulk RNA-seq data.
Stars
105
Forks
39
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 10, 2024
Commits (30d)
0
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