TimeSeriesExperiment

DOI: 10.18129/B9.bioc.TimeSeriesExperiment    

Analysis for short time-series data

Bioconductor version: Release (3.15)

TimeSeriesExperiment is a visualization and analysis toolbox for short time course data. The package includes dimensionality reduction, clustering, two-sample differential expression testing and gene ranking techniques. Additionally, it also provides methods for retrieving enriched pathways.

Author: Lan Huong Nguyen [cre, aut]

Maintainer: Lan Huong Nguyen <nlhuong90 at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("TimeSeriesExperiment")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Clustering, DifferentialExpression, GeneExpression, ImmunoOncology, Microbiome, Normalization, Pathways, PrincipalComponent, RNASeq, Sequencing, Software, TimeCourse, Transcription, Visualization
Version	1.13.0
In Bioconductor since	BioC 3.8 (R-3.5) (4 years)
License	MIT + file LICENSE
Depends	R (>= 4.1), 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

Package Archives

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

Source Package	TimeSeriesExperiment_1.13.0.tar.gz
Windows Binary
macOS Binary (x86_64)	TimeSeriesExperiment_1.13.0.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