infocusp/scaLR
Single cell analysis using Low Resource
scaLR helps biologists and medical researchers analyze single-cell RNA sequencing data to understand cell types and identify key biomarkers. You provide raw scRNA-seq data, and it outputs insights like cell type classifications, top genes distinguishing cell types, and visualizations such as ROC curves and heatmaps. This tool is designed for scientists working with large genomic datasets who need efficient, deep learning-based analysis.
Use this if you need an end-to-end pipeline to process, analyze, and classify cell types from large single-cell RNA sequencing datasets.
Not ideal if you prefer manual control over every step of your analysis pipeline or are working with data types other than single-cell RNA sequencing.
Stars
20
Forks
—
Language
Python
License
GPL-3.0
Category
Last pushed
Dec 01, 2025
Commits (30d)
0
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