Tutorials for multimodal omics data analysis
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Updated
Jun 27, 2022 - Jupyter Notebook
Tutorials for multimodal omics data analysis
experimental interface between R and scvi-tools
Multimodal Data (.h5mu) implementation for Python
Awesome GRN enhanced AnnData toolkit
Download and Convert METASPACE datasets to common formats such as AnnData or SpatialData
Muon for Julia
muon is a multimodal omics Python framework
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
anndata with trees
Annotated data.
Electronic Health Record Analysis with Python.
Perturbation Analysis in the scverse ecosystem.
Single-cell analysis in Python. Scales to >1M cells.
Notebooks used in scvi-tools tutorials
Deep probabilistic analysis of single-cell and spatial omics data
scverse lineage tracing analysis toolkit
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