kieranrcampbell/ouija: Interpretable marker-based single-cell pseudotime using Bayesian parametric models

Ouija is a probabilistic framework that allows for interpretable learning of single-cell pseudotimes using only small panels of marker genes. It contains Bayesian hypothesis testing for differences in gene regulation timing and allows for probabilistic identification of metastable states.

Getting started

Package details

AuthorKieran Campbell [aut, cre]
Bioconductor views Bayesian GeneExpression GeneRegulation PrincipalComponent RNASeq SingleCell Software Transcriptomics
MaintainerKieran Campbell <>
LicenseGPL (>=3)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
kieranrcampbell/ouija documentation built on Dec. 2, 2019, 12:44 p.m.