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RolDE: Robust longitudinal Differential Expression

Bioconductor version: Release (3.18)

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.

Author: Tommi Valikangas [cre, aut]

Maintainer: Tommi Valikangas <tsvali at utu.fi>

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


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Reference Manual PDF


biocViews DifferentialExpression, Proteomics, Regression, Software, StatisticalMethod, TimeCourse
Version 1.6.0
In Bioconductor since BioC 3.15 (R-4.2) (2 years)
License GPL-3
Depends R (>= 4.2.0)
Imports stats, methods, ROTS, matrixStats, foreach, parallel, doParallel, doRNG, rngtools, SummarizedExperiment, nlme, qvalue, grDevices, graphics, utils
System Requirements
URL https://github.com/elolab/RolDE
Bug Reports https://github.com/elolab/RolDE/issues
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Suggests knitr, printr, rmarkdown, testthat
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Package Archives

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

Source Package RolDE_1.6.0.tar.gz
Windows Binary RolDE_1.6.0.zip (64-bit only)
macOS Binary (x86_64) RolDE_1.6.0.tgz
macOS Binary (arm64) RolDE_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RolDE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RolDE
Bioc Package Browser https://code.bioconductor.org/browse/RolDE/
Package Short Url https://bioconductor.org/packages/RolDE/
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