A structured overview of simultaneous component based data integration |
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| Authors: | Katrijn Van Deun Age K Smilde Mariët J van der Werf Henk AL Kiers Iven Van Mechelen |
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| Institution: | (1) SymBioSys, Katholieke Universiteit Leuven, Leuven, Belgium;(2) Biosystems data analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands;(3) TNO, Quality of Life, Zeist, The Netherlands;(4) Heymans Institute ,University of Groningen, Groningen, The Netherlands |
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| Abstract: | Background Data integration is currently one of the main challenges in the biomedical sciences. Often different pieces of information
are gathered on the same set of entities (e.g., tissues, culture samples, biomolecules) with the different pieces stemming,
for example, from different measurement techniques. This implies that more and more data appear that consist of two or more
data arrays that have a shared mode. An integrative analysis of such coupled data should be based on a simultaneous analysis
of all data arrays. In this respect, the family of simultaneous component methods (e.g., SUM-PCA, unrestricted PCovR, MFA,
STATIS, and SCA-P) is a natural choice. Yet, different simultaneous component methods may lead to quite different results. |
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