GPseudoClust

Pseudo-clustering library

A software package for analyzing single-cell RNA-seq data by deconvoluting shared pseudo-trajectories

Code for the GPseudoClust method, including pre- and postprocessing steps. Magdalena E Strauß, Paul DW Kirk, John E Reid, Lorenz Wernisch (2019); GPseudoClust: deconvolution of shared pseudo-trajectories at single-cell resolution.

GitHub

1 stars
0 watching
0 forks
last commit: about 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
agitter/single-cell-pseudotimeCatalogs algorithms for estimating the position of cells in a developmental trajectory from single-cell gene expression data412
galadrielbriere/clustomicsAn open-source software tool for applying consensus clustering to multi-omic data for disease subtyping5
debsin/dropclustA bioinformatics R package for cluster analysis of single-cell RNA-seq data23
efremidze/clusterA map annotation clustering library that efficiently groups and displays geographic pins on an iOS map view.1,274
hexgnu/wine_clusteringAn application of machine learning to cluster similar data points from various sources0
navdeep-g/h2o3-pamAn implementation of the PAM algorithm in H2O-3 for clustering data.1
hamedn/slicendiceThis project is about discovering clusters of similar entities that behave similarly across multiple features or views.21
haleyjeppson/ggmosaicA package that generates various types of categorical data visualizations using ggplot2.168
alexgkendall/optics_clusteringA MATLAB implementation of an unsupervised clustering algorithm that groups data points based on their density and reachability distances58
epurdom/clusterexperimentA package providing tools for comparing and analyzing clusterings of single-cell sequencing data37
kieranrcampbell/ouijaA probabilistic framework for inferring pseudotimes from single-cell gene expression data and understanding the underlying regulatory mechanisms.28
navdeep-g/h2o3-gapstatAn implementation of the Gap Statistic method to determine optimal cluster counts in datasets1
mapbox/superclusterA JavaScript library for efficiently grouping and analyzing spatial data points into clusters2,127
e-xpertsolutions/go-clusterImplementation of k-modes and k-prototypes clustering algorithms in Go.43
kieranrcampbell/embeddrAnalyzes single-cell RNA-seq data using pseudotemporal ordering and clustering12