Trendy
Breakpoint analysis of time-course expression data
Bioconductor version: 3.24 · Package version: 1.35.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Trendy")Details
| Maintainer | Rhonda Bacher <rbacher@ufl.edu> |
| Author | Rhonda Bacher and Ning Leng |
| License | GPL-3 |
| URL | https://github.com/rhondabacher/Trendy |
| Downloads rank | 504 |
| Source branch | devel |
| biocViews | ImmunoOncology, RNASeq, Regression, Software, TimeCourse |
Download
Follow the installation instructions to use this package in your R session.
| Source package | Trendy_1.35.0.tar.gz |
| Windows binary (x86_64) | Trendy_1.35.0.zip |
| macOS binary (arm64) | Trendy_1.35.0.tgz |
| macOS binary (x86_64) | Trendy_1.35.0.tgz |
Dependencies
Depends: R (>= 3.4)
Imports: stats, utils, graphics, grDevices, segmented, gplots, parallel, magrittr, BiocParallel, DT, S4Vectors, SummarizedExperiment, methods, shiny, shinyFiles
Reverse dependencies
Imports Me (1): TiDEomics