Trendy

DOI: 10.18129/B9.bioc.Trendy    

Breakpoint analysis of time-course expression data

Bioconductor version: Release (3.15)

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 "4.2") 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")

 

PDF R Script Trendy Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews ImmunoOncology, RNASeq, Regression, Software, TimeCourse
Version 1.18.0
In Bioconductor since BioC 3.7 (R-3.5) (4.5 years)
License GPL-3
Depends R (>= 3.4)
Imports stats, utils, graphics, grDevices, segmented, gplots, parallel, magrittr, BiocParallel, DT, S4Vectors, SummarizedExperiment, methods, shiny, shinyFiles
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, devtools
SystemRequirements
Enhances
URL https://github.com/rhondabacher/Trendy
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 Trendy_1.18.0.tar.gz
Windows Binary Trendy_1.18.0.zip
macOS Binary (x86_64) Trendy_1.18.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Trendy
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Trendy
Package Short Url https://bioconductor.org/packages/Trendy/
Package Downloads Report Download Stats

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