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

被引：286
作者：
Bersanelli, Matteo [1 ,2 ]
Mosca, Ettore [2 ]
Remondini, Daniel [1 ]
Giampieri, Enrico [1 ]
Sala, Claudia [1 ]
Castellani, Gastone [1 ]
Milanesi, Luciano [2 ]
机构：
[1] Univ Bologna, Dept Phys & Astron, I-40127 Bologna, Italy
[2] CNR, Inst Biomed Technol, I-20090 Segrate, MI, Italy
来源：
BMC BIOINFORMATICS | 2016年 / 17卷
关键词：
Omics; Multi-omics; Data integration; R-PACKAGE; NETWORK; EXPRESSION; PATHWAYS; IDENTIFY; KERNEL;
D O I：
10.1186/s12859-015-0857-9
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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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页数：11
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