Background: 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.
Methods for the integration of multi-omics data: Mathematical aspects / Bersanelli, Matteo; Mosca, Ettore; Remondini, Daniel; Giampieri, Enrico; Sala, Claudia; Castellani, Gastone; Milanesi, Luciano. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - ELETTRONICO. - 17 Suppl 2:S2(2016), pp. 15-25. [10.1186/s12859-015-0857-9]
Methods for the integration of multi-omics data: Mathematical aspects
BERSANELLI, MATTEO;REMONDINI, DANIEL;GIAMPIERI, ENRICO;SALA, CLAUDIA;CASTELLANI, GASTONE;
2016
Abstract
Background: 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.| File | Dimensione | Formato | |
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