andreariba/DeepCycle
Cell cycle inference in single-cell RNA-seq
DeepCycle helps biologists understand cell cycle progression from single-cell RNA sequencing data. It takes your pre-processed single-cell RNA-seq data and a list of genes related to the cell cycle, then outputs a numerical 'transcriptional phase' (an angle) for each cell, indicating its stage in the cell cycle. This tool is for researchers studying cell replication, disease mechanisms, or development using single-cell genomics.
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Use this if you need to reliably infer the cell cycle stage of individual cells within your single-cell RNA-seq dataset without external perturbations.
Not ideal if your single-cell RNA-seq data is not sufficiently deep (low RNA count per cell) or if you are not interested in cell cycle analysis.
Stars
50
Forks
8
Language
Python
License
GPL-3.0
Category
Last pushed
Apr 25, 2023
Commits (30d)
0
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