Single-cell analysis in Python. Scales to >1M cells.
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Updated
Aug 31, 2024 - Python
Single-cell analysis in Python. Scales to >1M cells.
Deep probabilistic analysis of single-cell and spatial omics data
Annotated data.
muon is a multimodal omics Python framework
Electronic Health Record Analysis with Python.
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
Perturbation Analysis in the scverse ecosystem.
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
Multimodal Data (.h5mu) implementation for Python
Notebooks used in scvi-tools tutorials
Muon for Julia
A single cell transcriptomics pipeline for QC, integration and making the data presentable
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 associated with the "Training models on atlas-scale single-cell datasets" workshop at scverse Conference 2024
Awesome GRN enhanced AnnData toolkit
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