29 dependents
Package Description Downloads/month
A framework that allows processing of multi-modal single-cell data 11K
3K
Graph-linked unified embedding for single-cell multi-omics data integration 1K
Graph-based Contrastive Learning enable Fast Single-Cell Embedding 804
Transferable spatial omics deconvolution 789
Single-Cell RNA-seq data analysis. 780
Probabilistic factor analysis model with covariate guided factors 540
Semi-paired single-cell multimodal integration with Champollion 430
Panpipes - multimodal single cell pipelines 396
Probabilistic factor analysis model with covariate guided factors 358
A python package for chromVAR 352
TrajAtlas, a trajectory-centric framework reveals differentiation heterogenity a... 321
Python package to validate mudata objects. 311
Multimodal datasets, in MuData format 288
Python package for single-cell analysis with multiple kernel learning. 274
236
Package for the scSpecies workflow. 200
Harreman infers metabolic exchanges in tissues using spatial transcriptomics. 164
Biologically Guided Variational Inference for Interpretable Multimodal Single-Ce... 142
scConfluence is a novel diagonal integration method combining uncoupled autoenco... 139
Epiverse is the fundamental package for single cell Assay for Transposase-Access... 132
scverse bundle 131
scDiffusion-X: Diffusion Model for Single-Cell Multiome Data Generation and Anal... 130
Machine learning development environment for single-cell sequencing data analyse... 120
SMART is a computational framework for spatial multi-omic integration. SMART lev... 113
Storage and visualization of long read based single cell datasets 102
Mapping multi-scale gene regualtion using single-cell multiome 81
scReg2: integrate RNA and ATAC dimention reduction with batch remove 63
EpiOne: Generative cartography of single-cell epigenomes 63