Stars
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
Tools for making beautiful & useful command line interfaces
NicheNet: predict active ligand-target links between interacting cells
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods
High dimensional weighted gene co-expression network analysis
R package implementation of Milo for testing for differential abundance in KNN graphs
Combination matrix axis for 'ggplot2' to create 'UpSet' plots
Curated resources about Data Visualization, Drawing & Publishing in R
Functions for identifying and characterizing continuous developmental trajectories in single-cell data.
R package to infer biological activities from omics data using a collection of methods.
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as w…
Methods for detecting doublets in single-cell sequencing data
Generate high quality, publication ready visualizations for single cell transcriptomics data.
Color blindness friendly visualization of single-cell and bulk RNA-sequencing data
AUCell: score single cells with gene regulatory networks
Methods to discover gene programs on single-cell data
Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.
Break your chain at the cursor line. Run the first bit. See the output. Be free.
Reference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data
The integration of single cell rank-based gene set enrichment analysis