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

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

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 biologica...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:BMC bioinformatics 2016-01, Vol.17 Suppl 2 (29), p.15-15, Article S15
Hauptverfasser: Bersanelli, Matteo, Mosca, Ettore, Remondini, Daniel, Giampieri, Enrico, Sala, Claudia, Castellani, Gastone, Milanesi, Luciano
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Bayes Theorem
Gene expression
Genomics - methods
Humans
Least-Squares Analysis
Macromolecules
Models, Genetic
Physiological aspects
Software
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1471-2105
1471-2105
DOI:10.1186/s12859-015-0857-9