Development of a Supervised Multivariate Statistical Algorithm for Enhanced Interpretability of Multiblock Analysis.
In modern biological research, OMICs techniques, such as genomics, proteomics or metabolomics, are often employed to gain deep insights into metabolic regulations and biochemical perturbations in response to a specific research question. To gain complementary biologically relevant information, multi...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Matematiska institutionen
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138112 |