Gligorijević, V;
Malod-Dognin, N;
Pržulj, N;
(2016)
Integrative methods for analyzing big data in precision medicine.
Proteomics
, 16
(5)
pp. 741-758.
10.1002/pmic.201500396.
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Abstract
We provide an overview of recent developments in big data analyses in the context of precision medicine and health informatics. With the advance in technologies capturing molecular and medical data, we entered the area of “Big Data” in biology and medicine. These data offer many opportunities to advance precision medicine. We outline key challenges in precision medicine and present recent advances in data integration-based methods to uncover personalized information from big data produced by various omics studies. We survey recent integrative methods for disease subtyping, biomarkers discovery, and drug repurposing, and list the tools that are available to domain scientists. Given the ever-growing nature of these big data, we highlight key issues that big data integration methods will face.
| Type: | Article |
|---|---|
| Title: | Integrative methods for analyzing big data in precision medicine |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/pmic.201500396 |
| Publisher version: | http://dx.doi.org/10.1002/pmic.201500396 |
| Language: | English |
| Additional information: | Special Issue: Reviews 2016, Part 2. Copyright © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is the peer reviewed version of the following article: [Gligorijević, V., Malod-Dognin, N. and Pržulj, N. (2016), Integrative methods for analyzing big data in precision medicine. Proteomics, 16: 741–758. doi: 10.1002/pmic.201500396], which has been published in final form at http://dx.doi.org/10.1002/pmic.201500396. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
| Keywords: | Big data; Bioinformatics; Integration methods; Personalized medicine |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1519771 |
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