Single-cell analysis in Python. Scales to >1M cells.
Deep probabilistic analysis of single-cell and spatial omics data
Annotated data.
Electronic Health Record Analysis with Python.
muon is a multimodal omics Python framework
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
Perturbation Analysis in the scverse ecosystem.
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
Multimodal Data (.h5mu) implementation for Python
Notebooks used in scvi-tools tutorials
A single cell transcriptomics pipeline for QC, integration and making the data presentable
Muon for Julia
Tutorials for multimodal omics data analysis
Download and Convert METASPACE datasets to common formats such as AnnData or SpatialData
experimental interface between R and scvi-tools
Scripts/Notebooks for "Training models on atlas-scale single-cell datasets" at scverse Conference 2024
A Python alternative to `clustree` for assessing single-cell RNA-sequencing clusters.
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