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Journal article

OnPLS-based multi-block data integration: a multivariate approach to interrogating biological interactions in asthma

Abstract:

Integration of multiomics data remains a key challenge in fulfilling the potential of comprehensive systems biology. Multiple-block orthogonal projections to latent structures (OnPLS) is a projection method that simultaneously models multiple data matrices, reducing feature space without relying on a priori biological knowledge. In order to improve the interpretability of OnPLS models, the associated multi-block variable influence on orthogonal projections (MB-VIOP) method is used to identify...

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

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Publisher copy:
10.1021/acs.analchem.8b03205

Authors


Reinke, SN More by this author
Galindo-Prieto, B More by this author
Skotare, T More by this author
Broadhurst, DI More by this author
Singhania, A More by this author
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Funding agency for:
Hinks, TSC
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Publisher:
American Chemical Society Publisher's website
Journal:
Analytical Chemistry Journal website
Volume:
90
Issue:
22
Pages:
13400–13408
Publication date:
2018-10-18
Acceptance date:
2018-10-18
DOI:
EISSN:
1520-6882
ISSN:
0003-2700
Pubs id:
pubs:935165
URN:
uri:a5adc0ec-ee3b-4d98-8031-b0658c2e9c46
UUID:
uuid:a5adc0ec-ee3b-4d98-8031-b0658c2e9c46
Local pid:
pubs:935165
Language:
English

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