eleozzr/desc
Deep Embedding for Single-cell Clustering
This tool helps biologists and geneticists group similar individual cells from single-cell RNA sequencing (scRNA-seq) data. It takes your raw gene expression data for many cells and outputs clear cell cluster assignments, revealing distinct cell types or states within your sample. Researchers working with cellular heterogeneity will find this useful for understanding complex biological systems.
No commits in the last 6 months. Available on PyPI.
Use this if you need to identify and separate distinct cell populations from your single-cell RNA sequencing data, even when dealing with technical variations or 'batch effects' between experiments.
Not ideal if you are working with bulk RNA sequencing data or need to analyze data types other than single-cell gene expression.
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Last pushed
Apr 09, 2024
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