Methods for the integration of multi-omics data: mathematical aspects

Matteo Bersanelli, Ettore Mosca, Daniel Remondini, Enrico Giampieri, Claudia Sala, Gastone Castellani, Luciano Milanesi
2016 BMC Bioinformatics  
Methods for the integrative analysis of multi-omics data are required to draw a more complete and accurate picture of the dynamics of molecular systems. The complexity of biological systems, the technological limits, the large number of biological variables and the relatively low number of biological samples make the analysis of multi-omics datasets a non-trivial problem. Results and Conclusions: We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects.
doi:10.1186/s12859-015-0857-9 pmid:26821531 pmcid:PMC4959355 fatcat:wqbgnui7cnhd3ba6wz22ux2ddy