Centre for Biospectroscopy and Data Modelling

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Centre for Biospectroscopy and Data Modelling

Multi block seminar

Ingunn Berget

Today we see an increasing amount of data both in science and industry. Several types of measurements are made on the same samples, in addition measurements (spectroscopic, consumer data, gene expression ...) are highly multivariate. As a results multiple matrices are a natural part of modern research. There exist today a lot of different methods for handling such data, we have therefore started a seminar series for reviewing methods within this field, which we have chosen to call MultiMatrix as a common term for multiway-, multiblock- and multiclassanalysis, as well as other related methods.


Links are either power points files or pdf files. Lectures are mostly i Norwegian, but here titles are given in english
Dag Dato Foredragsholder Tema Hvor
Mandag 15.05.06 Martin Høy Overview multiblock methods MATFORSK
Mandag 29.05.06 Bjørn Helge Mevik LS-PLS IKBM
Mandag 12.06.06 Tormod Næs Multiway Analysis 303 MATFORSK
Mandag 26.06.06 307 MATFORSK
Mandag 28.08.06 Tormod Næs Multiway Analysis 307 MATFORSK
Mandag 11.09.06 Tobias Dahl GCA, CPA, proclustrees IKBM
Tirsdag 26.09.06 Solve Sæbø & Harald Martens L-structures : L-PLS and Domino-PLS IKBM
Tirsdag 10.10.06 Harald Martens Domino-PLS Skolestua, MATFORSK
Tirsdag 24.10.06 Achim Kohler Consensus PCA: Maximisation principle, deflation possibilities and consequences for biospectroscopy 303, MATFORSK
Tirsdag 07.11.06 Harald/Magni Martens Skolestua, MATFORSK
Tirsdag 21.11.06 Mohammed Hanafi
Bridge between chemometrics multiblock methods and PLS path modeling 303, MATFORSK
Tirsdag 05.12.06 Oliver Tomic Analysis of Sensory Data 303, MATFORSK
Tirsdag 19.12.06 øyvind Langsrud Explaining Correlations by Plotting Orthogonal
Contrasts


References

Westerhuis et al., "Analysis of mulitblock and hiearchical PCA and PLS models" J. Chemometrics, 12(5), 301-321, 1998

Westerhuis et al., "Short communcation: Deflation in multiblock PLS" J. Chemometrics, 15(5), 485-493, 2001

Martens et al. (2005) "Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR". Computational Statistics & Data Analysis 48, 103 – 123

Langsrud, ø. (2006), Explaining Correlations by Plotting Orthogonal Contrasts, The American Statistician, 60, 335-339.


Updated: 06.12.06
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Centre for Biospectroscopy and Data Modelling (Specmod)

Contact: Vegard H. Segtnan, Matforsk. Tel: +47 64 97 02 98. E-mail: vegard.segtnan (at) matforsk.no.