2 research outputs found
IsoGeneGUI: Multiple Approaches for Dose-Response Analysis of Microarray Data Using R
The analysis of transcriptomic experiments with ordered covariates, such as dose-response
data, has become a central topic in bioinformatics, in particular in omics studies. Consequently,
multiple R packages on CRAN and Bioconductor are designed to analyse microarray data from various
perspectives under the assumption of order restriction. We introduce the new R package IsoGene
Graphical User Interface (IsoGeneGUI), an extension of the original IsoGene package that includes
methods from most of available R packages designed for the analysis of order restricted microarray
data, namely orQA, ORIClust, goric and ORCME. The methods included in the new IsoGeneGUI
range from inference and estimation to model selection and clustering tools. The IsoGeneGUI is not
only the most complete tool for the analysis of order restricted microarray experiments available in
R but also it can be used to analyse other types of dose-response data. The package provides all the
methods in a user friendly fashion, so analyses can be implemented by users with limited knowledge
of R programming