Single-cell analysis in Python. Scales to >1M cells.
-
Updated
Oct 1, 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
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
Notebooks used in scvi-tools tutorials
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.
Electronic Health Record Analysis with Python.
Multimodal Data (.h5mu) implementation for Python
A single cell transcriptomics pipeline for QC, integration and making the data presentable
Tutorials for multimodal omics data analysis
Muon for Julia
anndata with trees
Dimensionality reduction and interactive web visualization for the scverse 2024 conference
experimental interface between R and scvi-tools
Awesome GRN enhanced AnnData toolkit
Add a description, image, and links to the scverse topic page so that developers can more easily learn about it.
To associate your repository with the scverse topic, visit your repo's landing page and select "manage topics."