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A computational framework for complex disease stratification from multiple large-scale datasets.

Abstract:

Background
Multilevel data integration is becoming a major area of research in systems biology. Within this area, multi-‘omics datasets on complex diseases are becoming more readily available and there is a need to set standards and good practices for integrated analysis of biological, clinical and environmental data. We present a framework to plan and generate single and multi-‘omics signatures of disease states.


Methods
The framewor...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1186/s12918-018-0556-z

Authors


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ORCID:
0000-0002-2108-7657
Lefaudeux, D More by this author
Bansal, AT More by this author
Chaiboonchoe, A More by this author
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Contributors

Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Contributor
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Contributor
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Grant:
MRC-Asthma UK Centre
Publisher:
BioMed Central Publisher's website
Journal:
BMC Systems Biology Journal website
Volume:
12
Issue:
60
Publication date:
2018-05-29
Acceptance date:
2018-02-21
DOI:
EISSN:
1752-0509
Pubs id:
pubs:856406
URN:
uri:02e537b8-3d9a-4a37-a8c5-776b8dca096f
UUID:
uuid:02e537b8-3d9a-4a37-a8c5-776b8dca096f
Local pid:
pubs:856406

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