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Johan A. Westerhuis

Johan A. Westerhuis

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
14682
World Ranking
4455
National Ranking
92

Overview

Johan A. Westerhuis is affiliated with the University of Amsterdam in the Netherlands. Their research primarily focuses on Biochemistry, Genetics and Molecular Biology, with particular emphasis on Molecular Biology, Plant Science, Analytical Chemistry, Biomedical Engineering, and Experimental and Cognitive Psychology.

The scientist's work includes an extensive body of publications addressing various topics such as Metabolomics and Mass Spectrometry Studies, Bioinformatics and Genomic Networks, Gut microbiota and health, Gene expression and cancer classification, Spectroscopy and Chemometric Analyses, Advanced Chemical Sensor Technologies, and Mental Health Research Topics.

Frequent publication venues for Westerhuis's work include the Journal of Chemometrics, bioRxiv (Cold Spring Harbor Laboratory), PLoS Computational Biology, Chemometrics and Intelligent Laboratory Systems, and Scientific Reports.

Recent notable papers authored or co-authored by Johan A. Westerhuis include:

  • Harmonization of quality metrics and power calculation in multi-omic studies (2020, Nature Communications)
  • Effect of strigolactones on recruitment of the rice root-associated microbiome (2022, FEMS Microbiology Ecology)
  • Increased comparability between RNA-Seq and microarray data by utilization of gene sets (2020, PLoS Computational Biology)
  • Revealing hidden information in GC-MS spectra from isomeric drugs: Chemometrics based identification from 15 eV and 70 eV EI mass spectra (2020, Forensic Chemistry)
  • Integration of omics data to unravel root microbiome recruitment (2021, Current Opinion in Biotechnology)

They have collaborated frequently with several researchers, including Age K. Smilde, Anna Heintz-Buschart, Harro J. Bouwmeester, Geert Roelof van der Ploeg, and Anouk Zancarini.

Best Publications

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

    Robert A van den Berg;Huub C J Hoefsloot;Johan A Westerhuis;Age K Smilde

  • Assessment of PLSDA cross validation

    Johan A. Westerhuis;Huub C. J. Hoefsloot;Suzanne Smit;Daniel J. Vis

  • Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies.

    Ewa Szymańska;Edoardo Saccenti;Age K. Smilde;Johan A. Westerhuis

  • Analysis of multiblock and hierarchical PCA and PLS models

    Johan A. Westerhuis;Theodora Kourti;John F. MacGregor

  • Reflections on univariate and multivariate analysis of metabolomics data

    Edoardo Saccenti;Huub C. J. Hoefsloot;Age K. Smilde;Johan A. Westerhuis

  • Generalized contribution plots in multivariate statistical process monitoring

    Johan A. Westerhuis;Stephen P. Gurden;Age K. Smilde

  • Metabolic fate of polyphenols in the human superorganism

    John van Duynhoven;Elaine E. Vaughan;Doris M. Jacobs;Robèr A. Kemperman

  • Multivariate paired data analysis: multilevel PLSDA versus OPLSDA

    Johan A. Westerhuis;Ewoud J. J. van Velzen;Huub C. J. Hoefsloot;Age K. Smilde

  • Direct orthogonal signal correction

    Johan A. Westerhuis;Sijmen de Jong;Age K. Smilde

  • Comparing alternative approaches for multivariate statistical analysis of batch process data

    Johan A. Westerhuis;Theodora Kourti;John F. MacGregor

  • ASCA: Analysis of multivariate data obtained from an experimental design

    Jeroen J. Jansen;Huub C. J. Hoefsloot;Jan van der Greef;Marieke E. Timmerman

  • A framework for sequential multiblock component methods

    Age K. Smilde;Johan A. Westerhuis;Sijmen de Jong

  • Data-processing strategies for metabolomics studies

    M.M.W.B. Hendriks;F.A. van Eeuwijk;R.H. Jellema;J.A. Westerhuis

  • Variable selection and validation in multivariate modelling.

    Lin Shi;Lin Shi;Johan A Westerhuis;Johan A Westerhuis;Johan Rosén;Rikard Landberg;Rikard Landberg

  • New background correction method for liquid chromatography with diode array detection, infrared spectroscopic detection and Raman spectroscopic detection

    Hans F.M. Boelens;Reyer J. Dijkstra;Paul H.C. Eilers;Fiona Fitzpatrick

  • Multilevel data analysis of a crossover designed human nutritional intervention study.

    Ewoud J J van Velzen;Johan A Westerhuis;John P M van Duynhoven;Ferdi A van Dorsten

  • Statistical validation of megavariate effects in ASCA

    Daniel J Vis;Johan A Westerhuis;Age K Smilde;Jan van der Greef

  • ANOVA–principal component analysis and ANOVA–simultaneous component analysis: a comparison

    Gooitzen Zwanenburg;Huub C.J. Hoefsloot;Johan A. Westerhuis;Jeroen J. Jansen

  • Critical evaluation of approaches for on-line batch process monitoring

    Eric N.M van Sprang;Henk-Jan Ramaker;Johan A Westerhuis;Stephen P Gurden

  • Dynamic metabolomic data analysis: a tutorial review

    A. K. Smilde;J. A. Westerhuis;H. C. J. Hoefsloot;S. Bijlsma

  • Multivariate modelling of the pharmaceutical two-step process of wet granulation and tableting with multiblock partial least squares

    Johan A. Westerhuis;Pierre M. J. Coenegracht

Frequent Co-Authors

Age K. Smilde
Age K. Smilde University of Amsterdam
Huub C. J. Hoefsloot
Huub C. J. Hoefsloot University of Amsterdam
Jaakko Tuomilehto
Jaakko Tuomilehto University of Helsinki
Gadi Rothenberg
Gadi Rothenberg University of Amsterdam
Jesper Tegnér
Jesper Tegnér King Abdullah University of Science and Technology
Lodewyk F. A. Wessels
Lodewyk F. A. Wessels Antoni van Leeuwenhoek Hospital
Marilyn C. Cornelis
Marilyn C. Cornelis Northwestern University
Christian Herder
Christian Herder Heinrich Heine University Düsseldorf
Ana Conesa
Ana Conesa University of Florida
Axel Imhof
Axel Imhof Ludwig-Maximilians-Universität München

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