Stars
Convert statistical analysis objects from R into tidy format
📍 Repel overlapping text labels away from each other in your ggplot2 figures.
🎨 Visualisation toolbox for beautiful and publication-ready figures
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
NicheNet: predict active ligand-target links between interacting cells
🔮 Easy access to model information for various model objects
High dimensional weighted gene co-expression network analysis
Extract and Visualize the Results of Multivariate Data Analyses
Combination matrix axis for 'ggplot2' to create 'UpSet' plots
R package implementation of Milo for testing for differential abundance in KNN graphs
Functions for identifying and characterizing continuous developmental trajectories in single-cell data.
R Package for Time Series Clustering Along with Optimizations for DTW
Comparison of methods for trajectory inference on single-cell data 🥇
Automated, probabilistic assignment of cell types in scRNA-seq data
Haplotype-aware CNV analysis from single-cell RNA-seq
Brings bulk and pseudobulk transcriptomics to the tidyverse
R data package for annotating/converting Gene IDs
Network construction, analysis, and comparison for microbial compositional data
AUCell: score single cells with gene regulatory networks
SingleCellNet: classify single cells across species and platforms