moanin
An R Package for Time Course RNASeq Data Analysis
Bioconductor version: 3.23 · Package version: 1.20.0
Simple and efficient workflow for time-course gene expression data, built on publictly available open-source projects hosted on CRAN and bioconductor. moanin provides helper functions for all the steps required for analysing time-course data using functional data analysis: (1) functional modeling of the timecourse data; (2) differential expression analysis; (3) clustering; (4) downstream analysis.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("moanin")Details
| Maintainer | Nelle Varoquaux <nelle.varoquaux@gmail.com> |
| Author | Elizabeth Purdom [aut] (ORCID: <https://orcid.org/0000-0001-9455-7990>), Nelle Varoquaux [aut, cre] (ORCID: <https://orcid.org/0000-0002-8748-6546>) |
| License | BSD 3-clause License + file LICENSE |
| Downloads rank | 269 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DifferentialExpression, GeneExpression, Microarray, RNASeq, Software, TimeCourse |
Documentation
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Dependencies
Depends: R (>= 4.0), SummarizedExperiment, topGO, stats
Imports: S4Vectors, MASS (>= 1.0.0), limma, viridis, edgeR, graphics, methods, grDevices, reshape2, NMI, zoo, ClusterR, splines, matrixStats
Suggests: testthat (>= 1.0.0), timecoursedata, knitr, rmarkdown, markdown, covr, BiocStyle