Bioconductor version: Release (3.16)
This package implements a method to analyze single-cell RNA- seq Data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.
Author: Keegan Korthauer [cre, aut]
Maintainer: Keegan Korthauer <keegan at stat.ubc.ca>
Citation (from within R,
enter citation("scDD")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("scDD")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scDD")
R Script | scDD Quickstart | |
Reference Manual | ||
Text | NEWS |
biocViews | Bayesian, Clustering, DifferentialExpression, ImmunoOncology, MultipleComparison, RNASeq, SingleCell, Software, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (6 years) |
License | GPL-2 |
Depends | R (>= 3.5.0) |
Imports | fields, mclust, BiocParallel, outliers, ggplot2, EBSeq, arm, SingleCellExperiment, SummarizedExperiment, grDevices, graphics, stats, S4Vectors, scran |
LinkingTo | |
Suggests | BiocStyle, knitr, gridExtra |
SystemRequirements | |
Enhances | |
URL | https://github.com/kdkorthauer/scDD |
BugReports | https://github.com/kdkorthauer/scDD/issues |
Depends On Me | |
Imports Me | |
Suggests Me | splatter |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | scDD_1.22.0.tar.gz |
Windows Binary | scDD_1.22.0.zip |
macOS Binary (x86_64) | scDD_1.22.0.tgz |
macOS Binary (arm64) | scDD_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scDD |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scDD |
Bioc Package Browser | https://code.bioconductor.org/browse/scDD/ |
Package Short Url | https://bioconductor.org/packages/scDD/ |
Package Downloads Report | Download Stats |
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