RolDE
RolDE: Robust longitudinal Differential Expression
Bioconductor version: 3.23 · Package version: 1.16.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RolDE")Details
| Maintainer | Medical Bioinformatics Centre <mbc@utu.fi> |
| Author | Tommi Valikangas [aut], Medical Bioinformatics Centre [cre] |
| License | GPL-3 |
| URL | https://github.com/elolab/RolDE |
| Bug Reports | https://github.com/elolab/RolDE/issues |
| Downloads rank | 209 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, Proteomics, Regression, Software, StatisticalMethod, TimeCourse |
Documentation
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Dependencies
Depends: R (>= 4.2.0)
Imports: stats, methods, ROTS, matrixStats, foreach, parallel, doParallel, doRNG, rngtools, SummarizedExperiment, nlme, qvalue, grDevices, graphics, utils