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Issue 1, 2018
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Data integration and predictive modeling methods for multi-omics datasets

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Abstract

Translating data to knowledge and actionable insights is the Holy Grail for many scientific fields, including biology. The unprecedented massive and heterogeneous data have created as many challenges to store, process and analyze as the opportunities and promises they hold. Here, we provide an overview of these opportunities and challenges in multi-omics predictive analytics.

Graphical abstract: Data integration and predictive modeling methods for multi-omics datasets

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Article information


Submitted
04 Oct 2017
Accepted
30 Oct 2017
First published
20 Dec 2017

Mol. Omics, 2018,14, 8-25
Article type
Review Article

Data integration and predictive modeling methods for multi-omics datasets

M. Kim and I. Tagkopoulos, Mol. Omics, 2018, 14, 8
DOI: 10.1039/C7MO00051K

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