Reverse Dependencies of muon

The following projects have a declared dependency on muon:

• biosofa — Probabilistic factor analysis model with covariate guided factors
• Epiverse — EpiVerse: A single pipeline for exploring the entire epigenomics universe
• garfield — Garfield: Graph-based Contrastive Learning enable Fast Single-Cell Embedding
• liana — LIANA+: a one-stop-shop framework for cell-cell communication
• mudatasets — Multimodal Datasets in MuData format
• multigrate — Multigrate: multimodal data integration for single-cell genomics.
• multimil — Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases
• mvtcr — mvTCR: A multimodal generative model to learn a unified representation across TCR sequences and scRNAseq data for joint analysis of single-cell immune profiling data
• panpipes — Panpipes - multimodal single cell pipelines
• pertpy — Perturbation Analysis in the scverse ecosystem.
• pychromvar — A python package for chromVAR
• scArches — Transfer learning with Architecture Surgery on Single-cell data
• scclip — no summary
• scconfluence — scConfluence is a novel diagonal integration method combining uncoupled autoencoders and Optimal Transport on single-cell data.
• sceLDA — no summary
• scirpy — Python library for single-cell adaptive immune receptor repertoire (AIRR) analysis
• scparadise — Single-Cell Analysis Annotation and Modality Prediction.
• scReg2 — scReg2: integrate RNA and ATAC dimention reduction with batch remove
• scverse — scverse bundle
• scvi-tools — Deep probabilistic analysis of single-cell omics data.
• sodirac — Domain Invariant Representation through Adversarial Calibration (DIRAC), a graph neural network to integrate spatial multi-omic data into a unified domain
• spfa — Probabilistic factor analysis model with covariate guided factors