InterCellar
Cell analysis tool
An interactive R/Shiny app for analyzing cell-cell communication from single-cell transcriptomics data
9 stars
2 watching
4 forks
Language: R
last commit: over 4 years agoLinked from 1 awesome list
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 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 |
 kieranrcampbell/embeddr | Analyzes single-cell RNA-seq data using pseudotemporal ordering and clustering | 12 |
 drisso/bioc2016singlecell | Analyzing single-cell RNA-seq data using R and Bioconductor tools | 76 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 saezlab/liana | An R-based framework to analyze cell-cell communication from single-cell RNA-Seq data by integrating multiple methods and resources | 184 |
 angelolab/ark-analysis | A toolset for analyzing multiplexed imaging data by applying various machine learning and image processing techniques to segment cells, cluster pixels, and perform spatial analysis. | 78 |
 welch-lab/liger | An R package for integrating and analyzing multiple single-cell datasets using nonnegative-matrix factorization | 397 |
 cytomining/cytominer | Software for preprocessing and analyzing large cell profiling datasets | 49 |
 zjufanlab/spatalk | An R package that infers cell-cell communication and ligand-receptor-target networks from spatially resolved transcriptomic data | 61 |
| zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 imb-computational-genomics-lab/ascend | Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |
 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 |
 ucarlab/iasva | Analyzes correlated hidden factors from single-cell transcriptomes to identify biological variation | 8 |
 bodenmillergroup/histocat | An interactive analysis toolbox for multiplexed image cytometry data | 1 |