SpeCond
Condition specific detection from expression data
Bioconductor version: 3.23 · Package version: 1.66.0
This package performs a gene expression data analysis to detect condition-specific genes. Such genes are significantly up- or down-regulated in a small number of conditions. It does so by fitting a mixture of normal distributions to the expression values. Conditions can be environmental conditions, different tissues, organs or any other sources that you wish to compare in terms of gene expression.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SpeCond") Details
| Maintainer | Florence Cavalli <florence@ebi.ac.uk> |
| Author | Florence Cavalli |
| License | LGPL (>=2) |
| Downloads rank | 533 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DifferentialExpression, Microarray, MultipleComparison, ReportWriting, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SpeCond_1.66.0.tar.gz |
| Windows binary (x86_64) | SpeCond_1.66.0.zip |
| macOS binary (arm64) | SpeCond_1.66.0.tgz |
| macOS binary (x86_64) | SpeCond_1.66.0.tgz |
Dependencies
Depends: R (>= 2.10.0), mclust (>= 3.3.1), Biobase (>= 1.15.13), fields, hwriter (>= 1.1), RColorBrewer, methods