kimod A K-tables approach to integrate multiple Omics-Data in R

kimod is to do multivariate data analysis of k-tables, in particular it makes STATIS methodology, designed to handle multiple data tables that quantity sets of variables collected on the same observations. This package allows to work with mixed data, with the introduction of the following improvements: distance options (for numeric and/or categorical variables) for each of the tables, bootstrap resampling techniques on the residual matrix of STATIScompromise, that enable perform confidence ellipses for the projection of observations, and regressions Biplot to project all variables on the compromise matrix. In this way, goodness of fit criteria are used for variables selection and building relationships between observations and variables. Moreover, this allows generating clustering of variables which are powerfully related to each other and consequently get the same information. 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 of the NCI-60 cell lines.