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

# metadata.dc.description.abstract[].value
BACKGROUND: 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. While Bioconductor's methods and classes implemented
                in different packages manage individual experiments, there is
                not a standard class to properly manage different omic datasets
                from the same subjects. In addition, most R/Bioconductor
                packages that have been designed to integrate and visualize
                biological data often use basic data structures with no clear
                general methods, such as subsetting or selecting samples.
                RESULTS: To cover this need, we have developed MultiDataSet, a
                new R class based on Bioconductor standards, 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 subsetting
                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. CONCLUSIONS: MultiDataSet is a suitable class for
                data integration under R and Bioconductor framework.

# metadata.dc.relation.ispartof[].value
BMC Bioinformatics, 2017, vol. 18, num. 36

# metadata.dc.source[].value
Articles publicats en revistes (ISGlobal)

# metadata.dc.title[].value
MultiDataSet: an R package for encapsulating multiple data sets
                with application to omic data integration