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Article
Open AccessMultivariate pattern analysis: a method and software to reveal, quantify, and visualize predictive association patterns in multicollinear data
Strongly multicollinear covariates, such as those typically represented in metabolomics applications, represent a challenge for multivariate regression analysis. These challenges are commonly circumvented by r...
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Article
Open AccessAn approach to assess and adjust for the influence of multicollinear covariates on metabolomics association patterns—applied to a study of the associations between a comprehensive lipoprotein profile and the homeostatic model assessment of insulin resistance
Comprehensive lipoprotein profiling using proton nuclear magnetic resonance (NMR) spectroscopy of serum represents an alternative to the homeostatic model assessment of insulin resistance (HOMA-IR). Both adipo...
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Article
Open AccessActive Smarter Kids (ASK): Rationale and design of a cluster-randomized controlled trial investigating the effects of daily physical activity on children’s academic performance and risk factors for non-communicable diseases
Evidence is emerging from school-based studies that physical activity might favorably affect children’s academic performance. However, there is a need for high-quality studies to support this. Therefore, the m...
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Article
Moffat-Swern Oxidation of Alcohols: Translating a Batch Reaction to a Continuous-Flow Reaction
The Moffatt-Swern oxidation (MSO) is a multistep, versatile, metal-free reaction by which alcohols are transformed into aldehydes and ketones. Batch MSO requires low temperatures (−70 °C) due to a highly exoth...
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Article
Open AccessInvestigation of serum protein profiles in scrapie infected sheep by means of SELDI-TOF-MS and multivariate data analysis
Classical scrapie in sheep is a fatal neurodegenerative disease associated with the conversion PrPC to PrPSc. Much is known about genetic susceptibility, uptake and dissemination of PrPSc in the body, but many as...
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Article
Assigning environmental variables to observed biological changes
A method for assigning environmental variables to observed biological changes in benthic communities is proposed. The approach requires biological and environmental sampling at the same sites. Additionally, a ...
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Article
Projective ordination by SIMCA: A dynamic strategy for cost-efficient environmental monitoring around offshore installations
A method for environmental monitoring using benthic species profiles as input is developed in this work. The method, referred to as projective ordination, utilises local principal component modelling (SIMCA) t...
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Chapter
Analytical Profiling and Latent-Variable Analysis of Multivariate Data in Petroleum Geochemistry
Various applications and facets of multivariate data analysis applied to the solution of petroleum geochemical problems are described. First, some important techniques for the analysis of multivariate geochemi...
