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
Browse package contents
Package details |
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| Author | Kieran Campbell [aut, cre] |
| Bioconductor views | Bayesian GeneExpression GeneRegulation PrincipalComponent RNASeq SingleCell Software Transcriptomics |
| Maintainer | Kieran Campbell <kieranrcampbell@gmail.com> |
| License | GPL (>=3) |
| Version | 0.99.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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