Trendy

This is the released version of Trendy; for the devel version, see Trendy.

Breakpoint analysis of time-course expression data


Bioconductor version: Release (3.20)

Trendy implements segmented (or breakpoint) regression models to estimate breakpoints which represent changes in expression for each feature/gene in high throughput data with ordered conditions.

Author: Rhonda Bacher and Ning Leng

Maintainer: Rhonda Bacher <rbacher at ufl.edu>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("Trendy")

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("Trendy")
Trendy Vignette PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews ImmunoOncology, RNASeq, Regression, Software, TimeCourse
Version 1.28.0
In Bioconductor since BioC 3.7 (R-3.5) (6.5 years)
License GPL-3
Depends R (>= 3.4)
Imports stats, utils, graphics, grDevices, segmented, gplots, parallel, magrittr, BiocParallel, DT, S4Vectors, SummarizedExperiment, methods, shiny, shinyFiles
System Requirements
URL https://github.com/rhondabacher/Trendy
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Suggests BiocStyle, knitr, rmarkdown, devtools
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Package Archives

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

Source Package Trendy_1.28.0.tar.gz
Windows Binary (x86_64) Trendy_1.28.0.zip
macOS Binary (x86_64) Trendy_1.28.0.tgz
macOS Binary (arm64) Trendy_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Trendy
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Trendy
Bioc Package Browser https://code.bioconductor.org/browse/Trendy/
Package Short Url https://bioconductor.org/packages/Trendy/
Package Downloads Report Download Stats