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Review
. 2017 Jun 16:8:84.
doi: 10.3389/fgene.2017.00084. eCollection 2017.

More Is Better: Recent Progress in Multi-Omics Data Integration Methods

Sijia Huang  1   2 , Kumardeep Chaudhary  1 , Lana X Garmire  1   2   3
Affiliations
Review

More Is Better: Recent Progress in Multi-Omics Data Integration Methods

Sijia Huang et al. Front Genet. .

Abstract

Multi-omics data integration is one of the major challenges in the era of precision medicine. Considerable work has been done with the advent of high-throughput studies, which have enabled the data access for downstream analyses. To improve the clinical outcome prediction, a gamut of software tools has been developed. This review outlines the progress done in the field of multi-omics integration and comprehensive tools developed so far in this field. Further, we discuss the integration methods to predict patient survival at the end of the review.

Keywords: integration; multi-omics; precision medicine; prediction; prognosis; supervised learning; unsupervised learning.

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Figures

Figure 1
Figure 1
Unsupervised data integration methodology.
Figure 2
Figure 2
Supervised data integration methodology.
See this image and copyright information in PMC

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