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Engineering and Technology

D-Index
77
Citations
31489
World Ranking
634
National Ranking
14

Overview

Age K. Smilde is a researcher affiliated with the University of Amsterdam in the Netherlands. Their research contributions span several interdisciplinary fields, including biochemistry, genetics, and molecular biology, with a notable focus on molecular biology within these domains. Their academic work integrates computational mathematics and analytical chemistry, extending also into plant science and epidemiology.

Their research covers a range of topics. Notably, they have contributed extensively to metabolomics and mass spectrometry studies. Additional focal areas include tensor decomposition and applications, gene expression and cancer classification, spectroscopy and chemometric analyses, bioinformatics and genomic networks, gut microbiota and health, and mental health research topics.

Age K. Smilde has published in various scientific venues, with frequent contributions to the Journal of Chemometrics, bioRxiv (Cold Spring Harbor Laboratory), Scientific Reports, PLoS Computational Biology, and Chemometrics and Intelligent Laboratory Systems.

Key recent papers authored or co-authored by Smilde illustrate the diversity and scope of their work:

  • "Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models," 2020, Scientific Reports
  • "Effect of strigolactones on recruitment of the rice root-associated microbiome," 2022, FEMS Microbiology Ecology
  • "Transcriptional profiles of adjuvanted hepatitis B vaccines display variable interindividual homogeneity but a shared core signature," 2020, Science Translational Medicine
  • "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

Their collaboration network includes several frequent co-authors with whom they have worked extensively:

  • Johan A. Westerhuis
  • Bruce R. Kowalski
  • Paul Trevorrow
  • Janine Maer
  • Dela Torre

Best Publications

  • Principal component analysis

    Rasmus Bro;Age K. Smilde;Age K. Smilde

  • 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

  • Multi-way Analysis: Applications in the Chemical Sciences

    Age K Smilde;Rasmus Bro;Paul Geladi

  • Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution

    Romà Tauler;Age Smilde;Bruce Kowalski

  • Large-scale human metabolomics studies: a strategy for data (pre-) processing and validation.

    Sabina Bijlsma;Ivana Bobeldijk;Elwin R Verheij;Raymond Ramaker

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

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

  • Multi-Way Analysis with Applications in the Chemical Sciences: Smilde/Multi-Way Analysis with Applications in the Chemical Sciences

    Age Smilde;Rasmus Bro;Paul Geladi

  • ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data

    Age K. Smilde;Jeroen J. Jansen;Huub C. J. Hoefsloot;Robert-Jan A. N. Lamers

  • 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

  • Centering and scaling in component analysis

    Rasmus Bro;Age K. Smilde

  • Proposed minimum reporting standards for data analysis in metabolomics

    Royston Goodacre;David Broadhurst;Age K. Smilde;Bruce S. Kristal

  • 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

  • Cross-validation of component models: A critical look at current methods

    R. Bro;K. Kjeldahl;A. K. Smilde;H. A. L. Kiers

  • Fusion of mass spectrometry-based metabolomics data.

    Age K Smilde;Mariët J van der Werf;Sabina Bijlsma;Bianca J C van der Werff-van der Vat

  • Atherosclerosis and liver inflammation induced by increased dietary cholesterol intake: a combined transcriptomics and metabolomics analysis

    Robert Kleemann;Lars Verschuren;Marjan J van Erk;Yuri Nikolsky

  • Influence of Temperature on Vibrational Spectra and Consequences for the Predictive Ability of Multivariate Models

    Florian Wülfert;Wim Th. Kok;Age K. Smilde

  • Chemometrics and Intelligent Laboratory Systems

    Iven Van Mechelen;Age K. Smilde

Frequent Co-Authors

Johan A. Westerhuis
Johan A. Westerhuis University of Amsterdam
Huub C. J. Hoefsloot
Huub C. J. Hoefsloot University of Amsterdam
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Rasmus Bro
Rasmus Bro University of Copenhagen
Rainer Bischoff
Rainer Bischoff University of Groningen
Romà Tauler
Romà Tauler Spanish National Research Council
Ben van Ommen
Ben van Ommen Netherlands Organisation for Applied Scientific Research
Lodewyk F. A. Wessels
Lodewyk F. A. Wessels Antoni van Leeuwenhoek Hospital
Thomas Hankemeier
Thomas Hankemeier Leiden University
Paul Geladi
Paul Geladi Swedish University of Agricultural Sciences

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