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scDD

This is the development version of scDD; for the stable release version, see scDD.

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3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5

Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

DOI: 10.18129/B9.bioc.scDD

Bioconductor version: Development (3.24)

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] ORCID: 0000-0002-4565-1654

Maintainer: Keegan Korthauer <keegan at stat.ubc.ca>

Citation (from within R, enter citation("scDD")):

Keegan Korthauer. scDD: Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions. doi:10.18129/B9.bioc.scDD, R package version 1.37.0, https://bioconductor.org/packages/scDD.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("scDD")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scDD")

Details

Package Archives

Follow Installation instructions to use this package in your R session.