This package allows to work with mixed omics data (transcriptomics, proteomics, microarraychips, rnaseq data), introducing the following improvements: distance options (for numeric and/or categorical variables) for each of the tables, bootstrap resampling techniques on the residuals matrices for all methods, that enable perform confidence ellipses for the projection of individuals, variables and biplot methodology to project variables (gene expression) on the compromise. Since the main purpose of the package is to use these techniques to omic data analysis, it includes an example data from four different microarray platforms (i.e.,Agilent, Affymetrix HGU 95, Affymetrix HGU 133 and Affymetrix HGU 133plus 2.0) on the NCI60 cell lines.NCI60_4arrays is a list containing the NCI60 microarray data with only few hundreds of genes randomly selected in each platform to keep the size of the package small. The data are the same that the package omicade4 used to implement the coinertia analysis. The references in packages follow the style of the APA6th norm.
Package details 


Author  Maria Laura Zingaretti, Johanna Altair DemeyZambrano, Jose Luis VicenteVillardon, Jhonny Rafael Demey 
Bioconductor views  ExperimentData GeneExpression Microarray Proteomics Visualization 
Maintainer  M L Zingaretti <[email protected]> 
License  GPL (>=2) 
Version  1.12.0 
Package repository  View on Bioconductor 
Installation 
Install the latest version of this package by entering the following in R:

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