Johan A. Westerhuis

Statistical validation of megavariate effects in ASCA (2007)

Vis, Daniel J, Westerhuis, Johan A, Smilde, Age K, Van Der Greef, Jan

Abstract Background Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has successfully...

Centering, scaling, and transformations: improving the biological information content of metabolomics data (2006)

Van Den Berg, Robert A, Hoefsloot, Huub CJ, Westerhuis, Johan A, Smilde, Age K, Van Der Werf, Mariët J

Abstract Background Extracting relevant biological information from large data sets is a major challenge in functional genomics research. Different aspects of the data hamper their biological...

Centering, scaling, and transformations: improving the biological information content of metabolomics data

Van Den Berg, Robert A, Hoefsloot, Huub CJ, Westerhuis, Johan A, Smilde, Age K, Van Der Werf, Mariët J

Centering, scaling, and transformations: improving the biological information content of metabolomics data

Van Den Berg, Robert A, Hoefsloot, Huub CJ, Westerhuis, Johan A, Smilde, Age K, Van Der Werf, Mariët J

Statistical validation of megavariate effects in ASCA

Vis, Daniel J, Westerhuis, Johan A, Smilde, Age K, Van Der Greef, Jan

Performance assessment and improvement of control charts for statistical batch process monitoring

Henk-Jan Ramaker, Johan A. Westerhuis, Stephen P. Gurden, Age K. Smilde

Simplivariate Models: Ideas and First Examples

Hageman, Jos A., Westerhuis, Johan A., Van Der Werf, Mariët J., Berger, Ruud, Smilde, Age K.

One of the new expanding areas in functional genomics is metabolomics: measuring the metabolome of an organism. Data being generated in metabolomics studies are very diverse in nature depending on...