schist
Single-cell analytics library
An interface to perform nested stochastic block model analysis on single-cell data using graph-tool methods.
An interface for Nested Stochastic Block Model for single cell analysis
32 stars
2 watching
5 forks
Language: Python
last commit: 5 months ago
Linked from 1 awesome list
clusteringsingle-cell
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
 euxhenh/cellar | An interactive software tool for analyzing single-cell omics data | 32 |
 jhu99/scbean | Analyzes single-cell multi-omics data from various modalities like RNA-seq and ATAC-seq | 16 |
 scverse/scvi-tools | Probabilistic analysis tools for single-cell omics data | 1,270 |
 rabadanlab/sctda | An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |
 hmatsu1226/scoup | A probabilistic model to analyze single-cell expression data during differentiation | 9 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 cbg-ethz/scicone | A software tool for analyzing single-cell DNA sequencing data to reconstruct copy number events and cell histories in cancer research. | 20 |
 timoast/sinto | Tools for analyzing aligned single-cell data from sequencing experiments | 118 |
 iosonofabio/singlet | Analyzes single cell RNA sequence data with quantitative phenotypes | 13 |
 zhanghao-njmu/scp | A comprehensive single-cell analysis pipeline with integrated tools for data processing and downstream analysis. | 407 |
 rraadd88/htsimaging | A Python package for analyzing high-throughput single-cell imaging data | 5 |
 scrna-seq/tasc | A toolkit for analyzing single-cell RNA sequencing data using computational methods and algorithms | 2 |
 xmc811/scillus | A package for processing and visualizing single-cell RNA-seq data in R, providing an efficient and customizable framework for analyzing complex biological datasets. | 60 |
 zjufanlab/scdeepsort | A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 100 |