This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see Trendy.
Bioconductor version: 3.16
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")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Trendy")
R Script | Trendy Vignette | |
Reference Manual | ||
Text | NEWS |
biocViews | ImmunoOncology, RNASeq, Regression, Software, TimeCourse |
Version | 1.20.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (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 |
Follow Installation instructions to use this package in your R session.
Source Package | Trendy_1.20.0.tar.gz |
Windows Binary | Trendy_1.20.0.zip |
macOS Binary (x86_64) | Trendy_1.20.0.tgz |
macOS Binary (arm64) | Trendy_1.20.0.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 |
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