Methods for the integration of multi-omics data: mathematical aspects
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Updated: Mar 26, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
Matteo Bersanelli1,2, Ettore Mosca3, Daniel Remondini4
1Department of Physics and Astronomy, Universita' di Bologna, Via B. Pichat 6/2, Bologna, 40127, Italy. matteo.bersanelli@studio.unibo.it.
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.
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