This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see TimeSeriesExperiment.
Bioconductor version: 3.12
Visualization and analysis toolbox for short time course data which includes dimensionality reduction, clustering, two-sample differential expression testing and gene ranking techniques. The package also provides methods for retrieving enriched pathways.
Author: Lan Huong Nguyen
Maintainer: Lan Huong Nguyen <nlhuong90 at gmail.com>
Citation (from within R,
enter citation("TimeSeriesExperiment")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("TimeSeriesExperiment")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("TimeSeriesExperiment")
HTML | R Script | Gene expression time course data analysis |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, DifferentialExpression, GeneExpression, ImmunoOncology, Microbiome, Normalization, Pathways, PrincipalComponent, RNASeq, Sequencing, Software, TimeCourse, Transcription, Visualization |
Version | 1.8.0 |
In Bioconductor since | BioC 3.8 (R-3.5) (2.5 years) |
License | LGPL (>= 3) |
Depends | R (>= 3.5.0), S4Vectors(>= 0.19.23), SummarizedExperiment(>= 1.11.6) |
Imports | dynamicTreeCut, dplyr, edgeR, DESeq2, ggplot2 (>= 3.0.0), graphics, Hmisc, limma, methods, magrittr, proxy, stats, tibble, tidyr, vegan, viridis, utils |
LinkingTo | |
Suggests | Biobase, BiocFileCache(>= 1.5.8), circlize, ComplexHeatmap, GO.db, grDevices, grid, knitr, org.Mm.eg.db, org.Hs.eg.db, MASS, RColorBrewer, rmarkdown, UpSetR |
SystemRequirements | |
Enhances | |
URL | https://github.com/nlhuong/TimeSeriesExperiment |
BugReports | https://github.com/nlhuong/TimeSeriesExperiment/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | TimeSeriesExperiment_1.8.0.tar.gz |
Windows Binary | TimeSeriesExperiment_1.8.0.zip |
macOS 10.13 (High Sierra) | TimeSeriesExperiment_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/TimeSeriesExperiment |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/TimeSeriesExperiment |
Package Short Url | https://bioconductor.org/packages/TimeSeriesExperiment/ |
Package Downloads Report | Download Stats |
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