J
Johan Trygg
Researcher at Umeå University
Publications - 197
Citations - 17650
Johan Trygg is an academic researcher from Umeå University. The author has contributed to research in topics: Partial least squares regression & Chemometrics. The author has an hindex of 50, co-authored 185 publications receiving 15952 citations. Previous affiliations of Johan Trygg include Nanjing Medical University & Wellcome Trust Centre for Human Genetics.
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Journal ArticleDOI
Orthogonal projections to latent structures (O-PLS)
Johan Trygg,Svante Wold +1 more
TL;DR: In this article, a generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O-PLS), is described, which removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity).
Journal ArticleDOI
Chemometrics in Metabonomics
TL;DR: An overview of how the underlying philosophy of chemometrics is integrated throughout metabonomic studies is provided, including the tools applied for linear modeling, for example, Statistical Experimental Design (SED), Principal Component Analysis (PCA), Partial least-squares (PLS), Orthogonal-PLS, and dynamic extensions thereof.
Journal ArticleDOI
OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification†
Max Bylesjö,Mattias Rantalainen,Olivier Cloarec,Jeremy K. Nicholson,Elaine Holmes,Johan Trygg +5 more
TL;DR: In this paper, class-orthogonal variation can be exploited to augment classificaiton analysis (OPLS-DA) for the purpose of discriminant analysis, and the OPLS method can be used to augment classification.
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Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models.
Susanne Wiklund,Erik Johansson,Lina Sjöström,Ewa J. Mellerowicz,Ulf Edlund,John P. Shockcor,Johan Gottfries,Thomas Moritz,Johan Trygg +8 more
TL;DR: The S-plot is proposed as a tool for visualization and interpretation of multivariate classification models, e.g., OPLS discriminate analysis, having two or more classes, and an improved visualization and discrimination of interesting metabolites could be demonstrated.
Journal ArticleDOI
Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets.
Olivier Cloarec,Marc-Emmanuel Dumas,Andrew Craig,Richard H Barton,Johan Trygg,Jane Hudson,Christine Blancher,Dominique Gauguier,John C. Lindon,Elaine Holmes,Jeremy K. Nicholson +10 more
TL;DR: The implementation of the statistical total correlation spectroscopy (STOCSY) analysis method with supervised pattern recognition and particularly orthogonal projection on latent structure-discriminant analysis (O-PLS-DA) offers a new powerful framework for analysis of metabonomic data.