AnnData object creation, manipulation, and visualization for single-cell RNA-seq data analysis
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Updated
Apr 19, 2026 - Jupyter Notebook
AnnData object creation, manipulation, and visualization for single-cell RNA-seq data analysis
End-to-end scRNA-seq analysis of 10x Genomics PBMC 3k using Scanpy; QC, clustering, manual and automated cell-type annotation
Ublind challenges the ways we interact with high dimensional data and overcomes a fundamental limitation in accessibility of latent representations of data
Single-cell mass spectrometry quantification (DIA-NN pg_matrix, long tables) to AnnData/MuData with MS-aware QC.
Validate the semantic correctness, metadata completeness, provenance and AI readiness of Cell Painting datasets represented in AnnData.
Python port of R limma for differential expression analysis
Dimensionality reduction and interactive web visualization for the scverse 2024 conference
scverse AnnData tutorial implementation
Tutorials and helpers for downstream analysis of Cell Painting data with scverse tools (anndata, scanpy, decoupler, pertpy, squidpy, rapids-singlecell)
Joint MS-proteomics analysis with Python and R packages
A Python package for unsupervised analysis of spatial (prote)omics data.
A high-performance Python package for single-cell genomics
Validate and package reproducible computational biology analysis runs using RO-Crate.
A unified evaluation framework for single-cell perturbation prediction
Explicit MAD-based QC flagging and robust scaling for Python, AnnData, and scverse workflows.
A Python alternative to `clustree` for assessing single-cell RNA-sequencing clusters.
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