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Reduction in the cost of genomic assays has generated large amounts of biomedical-related data. As a result, current studies perform multiple experiments in the same subjects. MultiDataSet is a new R class based on Bioconductor standards and designed to encapsulate multiple data sets. MultiDataSet deals with the usual difficulties of managing multiple and non-complete data sets while offering a simple and general way of sub-setting features and selecting samples. We illustrate the use of MultiDataSet in three common situations: 1) performing integration analysis with third party packages; 2) creating new methods and functions for omic data integration; 3) encapsulating new unimplemented data from any biological experiment.

This package contains base classes for MEAL and omicRexposome packages.


This project published an R package in Bioconductor:

And with a publication in BMC Bioinformatics (Open Access):

MultiDataSet: an R package for encapsulating multiple data sets with application to omic data integration

Carles Hernandez-Ferrer, Carlos Ruiz-Arenas, Alba Beltran-Gomila and Juan R. Gonzalez / BMC Bioinformatics 2017 / doi:10.1186/s12859-016-1455-1

Carles Hernandez-Ferrer

Carles Hernandez-Ferrer

Bioinformatics, data analysis and software development

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