SC3
Cell clusterer
A tool for clustering cells from single cell RNA-Seq experiments
A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments
121 stars
11 watching
55 forks
Language: R
last commit: about 5 years agoLinked from 1 awesome list
bioconductor-packagehuman-cell-atlassingle-cell-rna-seq
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
| hemberg-lab/scrna.seq.course | An open-source teaching package for the computational analysis of single-cell RNA-seq data using R. | 673 |
 nasqar/seuratv3wizard | An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 |
 asmagen/robustsinglecell | An R-based software package for analyzing scRNA-seq data to identify robust cell subpopulations and compare population compositions across different tissues and experimental models. | 13 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 kieranrcampbell/embeddr | Analyzes single-cell RNA-seq data using pseudotemporal ordering and clustering | 12 |
 debsin/dropclust | A bioinformatics R package for cluster analysis of single-cell RNA-seq data | 23 |
 drisso/bioc2016singlecell | Analyzing single-cell RNA-seq data using R and Bioconductor tools | 76 |
 tanaylab/metacell | An R package that facilitates analysis of single-cell RNA-seq data by identifying homogeneous groups of cells. | 110 |
 immcore/is-cellr | A web-based Shiny application for analyzing single-cell RNA sequencing data | 23 |
 sccaf/sccaf | Automated method for identifying putative cell types from single-cell RNA-seq data using clustering and machine learning | 94 |
 kchen-lab/scmarker | A tool to identify cell-specific markers from single-cell RNA sequencing data by filtering out genes with unimodal distributions and selecting synergistically expressed gene pairs. | 15 |
 hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
 scrna-seq/tasc | A toolkit for analyzing single-cell RNA sequencing data using computational methods and algorithms | 2 |
 imb-computational-genomics-lab/ascend | Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |
 gao-lab/cell_blast | An open-source tool for querying and annotating large-scale single-cell RNA-seq data using similarity searches. | 87 |