Speaker
Kristian Hovde Liland
(NMBU)
Description
Multiblock data analysis has become a standard tool for analysis of data from several sources, be it linking of omics data, characterisation or prediction using various spectroscopies, or applications in sensory analyses. I will present some basics concerning possibilities and choices in multiblock data analysis, introduce some of the standard methods, show some examples of usage and refer to a new Wiley book: Multiblock Data Fusion in Statistics and Machine Learning – Applications in the Natural and Life Sciences by Smilde, Næs and Liland with its accompanying R package multiblock.
| Keywords | Multiblock, Data Fusion |
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Primary author
Kristian Hovde Liland
(NMBU)