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

Matteo Bersanelli,Ettore Mosca,Daniel Remondini,Enrico Giampieri,Claudia Sala,Gastone Castellani,Luciano Milanesi

Data integration

Computer science

Computational biology

2016

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. We review the most advanced strategies for integrating multi-omics datasets, focusing on mathematical and methodological aspects.

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“Methods for the integration of multi-omics data: mathematical aspects” is a paper by Matteo Bersanelli Ettore Mosca Daniel Remondini Enrico Giampieri Claudia Sala Gastone Castellani Luciano Milanesi published in 2016. It has an Open Access status of “gold”. You can read and download a PDF Full Text of this paper here.