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Piecewise multivariate modelling of sequential metabolic profiling data

Abstract:

Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the sampling rate and number of sampling points are often restricted due to experimental and biological constraints.

Results: A supervised multivariate modelling approach with the objective to model the time-related variation in the data for short and sparsely sa...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1186/1471-2105-9-105

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
Publisher:
BioMed Central
Journal:
BMC Bioinformatics More from this journal
Volume:
9
Article number:
105
Publication date:
2008-02-19
Acceptance date:
2008-02-19
DOI:
EISSN:
1471-2105
Language:
English
Keywords:
UUID:
uuid:a69ab66f-c455-4834-a72f-309b998f9caf
Local pid:
pubs:104745
Source identifiers:
104745
Deposit date:
2012-12-19

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