ggsc
Visualization tool
A package for visualizing single cell and spatial transcriptomics data using R
🧠Visualizing Single Cell and Spatial Transcriptomics
43 stars
4 watching
12 forks
Language: R
last commit: 22 days ago
Linked from 1 awesome list
erikgahner/awesome-ggplot2Related projects:
| Repository | Description | Stars |
|---|---|---|
| yulab-smu/ggfun | A collection of reusable R functions for data visualization and analysis | 18 |
 yuifu/millefy | Visualizes read coverage of single-cell RNA-seq datasets in genomic contexts to highlight cell-to-cell heterogeneity | 27 |
 haleyjeppson/ggmosaic | A package that generates various types of categorical data visualizations using ggplot2. | 168 |
| yulab-smu/ggtree | A tool for visualizing and annotating phylogenetic trees with associated data | 840 |
 aertslab/scope | A tool for fast visualization of large-scale single-cell data | 68 |
 yoseflab/fastproject | Provides tools and methods for visualizing and analyzing single cell RNA-seq data in low dimensions | 35 |
 matbou85/ggscatridges | A tool for visualizing distribution patterns in data using density plots and scatter plots with ridgelines | 2 |
 smin95/smplot2 | A package for creating elegant statistical data visualizations with R | 23 |
 martin-borkovec/ggparty | A package for creating ggplot2 visualizations of party models. | 147 |
 coolbutuseless/ggthreed | Provides 3D visualization tools and statistics for ggplot2 | 46 |
 mpru/ggcleveland | A package providing ggplot2-based visualizations for exploratory data analysis | 8 |
 tanaylab/metacell | An R package that facilitates analysis of single-cell RNA-seq data by identifying homogeneous groups of cells. | 108 |
 teunbrand/ggnomics | A package that enables plotting of Bioconductor S4 classes directly within ggplot2 without conversion to base R data structures. | 80 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 guangchuangyu/ggtree-current-protocols | This repository provides code and data to reproduce visualizations from a bioinformatics paper using the ggtree package. | 23 |