dynverse: benchmarking, constructing and interpreting single-cell trajectories
The dynverse is an open set of packages to benchmark, construct and interpret single-cell trajectories. See https://dynverse.org for an overview
The dynverse
Pinned Repositories
anndata
Annotated multivariate observation data in R
babelwhale
Talking to Docker and Singularity containers
dynbenchmark
Comparison of methods for trajectory inference on single-cell data 🥇
dyngen
Simulating single-cell data using gene regulatory networks 📠
dynguidelines
Selecting the optimal trajectory inference based on a given dataset and user input 🔮
dynmethods
A collection of 50+ trajectory inference methods within a common interface 📥📤
dyno
Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕
dynplot
Visualising single-cell trajectories, including comparisons between two models 📈
dynverse
A set of tools supporting the development, execution, and benchmarking of trajectory inference methods. 🌍
lmds
Landmark Multi-Dimensional Scaling
dynverse: benchmarking, constructing and interpreting single-cell trajectories's Repositories
dynverse/GPfates
dynverse/MATCHER
dynverse/mfa
Probabilistic inference of single-cell bifurcations
dynverse/ouijaflow
R package for the ouijaflow package
dynverse/SCOUP
Unofficial SCOUP R package
dynverse/SLICER
SLICER algorithm for inferring cell trajectories. See details in Welch et al., Genome Biology 2016: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0975-3
dynverse/StemID
Unofficial StemID R package
dynverse/StemID2
dynverse/Waterfall
Unofficial Waterfall R package