26-30 June 2022
Europe/Berlin timezone

Multiblock data fusion

28 Jun 2022, 14:40
30m
EL5

EL5

Other/special session/invited session INVITED Scandinavian

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

Primary author

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