gaga
GaGa hierarchical model for high-throughput data analysis
Bioconductor version: 3.24 · Package version: 2.59.0
Implements the GaGa model for high-throughput data analysis, including differential expression analysis, supervised gene clustering and classification. Additionally, it performs sequential sample size calculations using the GaGa and LNNGV models (the latter from EBarrays package).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("gaga") Details
| Maintainer | David Rossell <rosselldavid@gmail.com> |
| Author | David Rossell <rosselldavid@gmail.com>. |
| License | GPL (>= 2) |
| Downloads rank | 616 |
| Source branch | devel |
| biocViews | Classification, DifferentialExpression, ImmunoOncology, MassSpectrometry, MultipleComparison, OneChannel, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | gaga_2.59.0.tar.gz |
| Windows binary (x86_64) | gaga_2.59.0.zip |
| macOS binary (arm64) | gaga_2.59.0.tgz |
| macOS binary (x86_64) | gaga_2.59.0.tgz |
Reverse dependencies
Imports Me (1): casper