cole-trapnell-lab/monocle3: Clustering, Differential Expression, and Trajectory Analysis for Single-Cell RNA-Seq
Monocle 3 performs clustering, differential expression and trajectory analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle 3 also performs differential expression analysis, clustering, visualization, and other useful tasks on single-cell expression data. It is designed to work with RNA-Seq data, but could be used with other types as well.
Getting started
Browse package contents
Package details |
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| Bioconductor views | ATACSeq Annotation Classification Clustering DifferentialExpression DimensionReduction GeneExpression Normalization Preprocessing QualityControl RNASeq SingleCell Software Visualization |
| Maintainer | Brent Ewing <bge@uw.edu> |
| License | MIT + file LICENSE |
| Version | 1.3.7 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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