Journal article

integrOmics: an R package to unravel relationships between two omics datasets

Kim-Anh Le Cao, Ignacio Gonzalez, Sebastien Dejean



MOTIVATION: With the availability of many 'omics' data, such as transcriptomics, proteomics or metabolomics, the integrative or joint analysis of multiple datasets from different technology platforms is becoming crucial to unravel the relationships between different biological functional levels. However, the development of such an analysis is a major computational and technical challenge as most approaches suffer from high data dimensionality. New methodologies need to be developed and validated. RESULTS: integrOmics efficiently performs integrative analyses of two types of 'omics' variables that are measured on the same samples. It includes a regularized version of canonical correlation ana..

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University of Melbourne Researchers


Awarded by French National Research Agency

Funding Acknowledgements

Funding: Australian Research Council under the ARC Centres of Excellence program; ARC Centre of Excellence in Bioinformatics ( to K-A. L. C.); Program on Food and Human Nutrition of the French National Research Agency, ANR PNRA 2006, project 2.23, plast-impact ( to I. G.).