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RolDE

RolDE: Robust longitudinal Differential Expression

Bioconductor version: 3.24 · Package version: 1.17.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

RolDE detects longitudinal differential expression between two conditions in noisy high-troughput data. Suitable even for data with a moderate amount of missing values.RolDE is a composite method, consisting of three independent modules with different approaches to detecting longitudinal differential expression. The combination of these diverse modules allows RolDE to robustly detect varying differences in longitudinal trends and expression levels in diverse data types and experimental settings.

DOI: 10.18129/B9.bioc.RolDE

Installation

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

BiocManager::install("RolDE")

Details

MaintainerMedical Bioinformatics Centre <mbc@utu.fi>
AuthorTommi Valikangas [aut], Medical Bioinformatics Centre [cre]
LicenseGPL-3
URLhttps://github.com/elolab/RolDE
Bug Reportshttps://github.com/elolab/RolDE/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, Proteomics, Regression, Software, StatisticalMethod, TimeCourse
Package Short Url https://bioconductor.org/packages/RolDE/

Citation

From within R, enter citation("RolDE"):

Tommi Valikangas. RolDE: RolDE: Robust longitudinal Differential Expression. doi:10.18129/B9.bioc.RolDE, R package version 1.17.0, https://bioconductor.org/packages/RolDE.

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

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageRolDE_1.17.0.tar.gz
Windows binary (x86_64)RolDE_1.17.0.zip
macOS binary (arm64)RolDE_1.17.0.tgz
macOS binary (x86_64)RolDE_1.17.0.tgz
Dependencies

Depends: R (>= 4.2.0)

Imports: stats, methods, ROTS, matrixStats, foreach, parallel, doParallel, doRNG, rngtools, SummarizedExperiment, nlme, qvalue, grDevices, graphics, utils

Suggests: knitr, printr, rmarkdown, testthat