Search Results - "Govaerts, Bernadette"
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How to regress and predict in a Bland-Altman plot? Review and contribution based on tolerance intervals and correlated-errors-in-variables models
Published in Statistics in medicine (30-06-2016)“…Two main methodologies for assessing equivalence in method‐comparison studies are presented separately in the literature. The first one is the well‐known and…”
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Pyruvate dehydrogenase kinase/lactate axis: a therapeutic target for neovascular age-related macular degeneration identified by metabolomics
Published in Journal of molecular medicine (Berlin, Germany) (01-12-2020)“…Neovascular age-related macular degeneration (nAMD) is the leading cause of blindness in aging populations. Here, we applied metabolomics to human sera of…”
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Combining rapid 2D NMR experiments with novel pre-processing workflows and MIC quality measures for metabolomics
Published in Metabolomics (01-04-2020)“…Introduction The use of 2D NMR data sources (COSY in this paper) allows to reach general metabolomics results which are at least as good as the results…”
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Impact of the spotted microarray preprocessing method on fold-change compression and variance stability
Published in BMC bioinformatics (25-10-2011)“…The standard approach for preprocessing spotted microarray data is to subtract the local background intensity from the spot foreground intensity, to perform a…”
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Occupational exposure to noise and the prevalence of hearing loss in a Belgian military population: a cross-sectional study
Published in Noise & health (01-01-2011)“…The armed forces are highly exposed to occupational noise. The aim of this study was to evaluate the prevalence and noise exposures associated with the…”
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LiMM‐PCA: Combining ASCA+ and linear mixed models to analyse high‐dimensional designed data
Published in Journal of chemometrics (01-06-2020)“…Nowadays, life science experiments—and especially “omics” fields—often imply a high volume of information from high throughput technologies that is gathered in…”
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AdaCLV for interpretable variable clustering and dimensionality reduction of spectroscopic data
Published in Chemometrics and intelligent laboratory systems (15-11-2020)“…This paper introduces a new method, Adaptive Clustering around Latent Variables (AdaCLV), for simultaneous dimensionality reduction and variable clustering,…”
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ASCA+ and APCA+: Extensions of ASCA and APCA in the analysis of unbalanced multifactorial designs
Published in Journal of chemometrics (01-06-2017)“…Many modern analytical methods are used to analyse samples coming from an experimental design, for example, in medical, biological, or agronomic fields. Those…”
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Comparison of PARAFASCA, AComDim, and AMOPLS approaches in the multivariate GLM modelling of multi-factorial designs
Published in Chemometrics and intelligent laboratory systems (15-01-2019)“…Data tables from experimental designs with multiple response variables and a large number of responses with respect to the number of observations are becoming…”
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Comparison of chemometrics strategies for the spectroscopic monitoring of active pharmaceutical ingredients in chemical reactions
Published in Chemometrics and intelligent laboratory systems (15-04-2021)“…The Process Analytical Technology (PAT) initiative promoted by the Food and Drug Administration (FDA) encourages pharmaceutical companies to increase the use…”
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Measurement methods comparison with errors-in-variables regressions. From horizontal to vertical OLS regression, review and new perspectives
Published in Chemometrics and intelligent laboratory systems (15-05-2014)“…This paper summarizes and confronts the relationships between six well-known regressions applied in the context of measurement methods comparison with or…”
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Comparison of extraction methods in vitro Plasmodium falciparum: A 1H NMR and LC-MS joined approach
Published in Biochemical and biophysical research communications (09-04-2024)“…Malaria is a parasitic disease that remains a global concern and the subject of many studies. Metabolomics has emerged as an approach to better comprehend…”
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limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods
Published in Journal of chemometrics (01-07-2023)“…Summary Many modern analytical methods are used to analyze samples issued from an experimental design, for example, in medical, biological, chemical, or…”
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Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics
Published in Metabolomics (01-04-2019)“…Introduction The pre-processing of analytical data in metabolomics must be considered as a whole to allow the construction of a global and unique object for…”
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Comparison of extraction methods in vitro Plasmodium falciparum: A 1 H NMR and LC-MS joined approach
Published in Biochemical and biophysical research communications (13-02-2024)“…Malaria is a parasitic disease that remains a global concern and the subject of many studies. Metabolomics has emerged as an approach to better comprehend…”
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First comprehensive untargeted metabolomics study of suramin-treated Trypanosoma brucei: an integrated data analysis workflow from multifactor data modelling to functional analysis
Published in Metabolomics (23-02-2024)“…Introduction Human African trypanosomiasis, commonly known as sleeping sickness, is a vector-borne parasitic disease prevalent in sub-Saharan Africa and…”
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PepsNMR for ^sup 1^H NMR metabolomic data pre-processing
Published in Analytica chimica acta (17-08-2018)“…In the analysis of biological samples, control over experimental design and data acquisition procedures alone cannot ensure well-conditioned 1H NMR spectra…”
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PepsNMR for 1H NMR metabolomic data pre-processing
Published in Analytica chimica acta (17-08-2018)“…In the analysis of biological samples, control over experimental design and data acquisition procedures alone cannot ensure well-conditioned 1H NMR spectra…”
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19
Assessing dataset equivalence and leveling data in geochemical mapping
Published in Journal of geochemical exploration (01-09-2016)“…Combining data originating from two or more geochemical surveys can be highly beneficial for establishing geochemical maps with increased resolution and/or…”
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Combining strong sparsity and competitive predictive power with the L-sOPLS approach for biomarker discovery in metabolomics
Published in Metabolomics (01-11-2017)“…Introduction In the context of metabolomics analyses, partial least squares (PLS) represents the standard tool to perform regression and classification. OPLS,…”
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