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Results: 163
Number of items: 163
  • Open Access
    Madssen, T. S., Giskeødegård, G. F., Smilde, A. K., & Westerhuis, J. A. (2021). Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data. PLoS Computational Biology, 17(11), Article e1009585. https://doi.org/10.1371/journal.pcbi.1009585
  • Open Access
    Smilde, A. K., Song, Y., Westerhuis, J. A., Kiers, H. A. L., Aben, N., & Wessels, L. F. A. (2021). Heterofusion: Fusing genomics data of different measurement scales. Journal of Chemometrics, 35(2), Article e3200. https://doi.org/10.1002/cem.3200
  • Gomez-Cabrero, D., Tarazona, S., Ferreirós-Vidal, I., Ramirez, R. N., Company, C., Schmidt, A., Reijmers, T., Paul, V. v. S., Marabita, F., Rodríguez-Ubreva, J., Garcia-Gomez, A., Carroll, T., Cooper, L., Liang, Z., Dharmalingam, G., van der Kloet, F., Harms, A. C., Balzano-Nogueira, L., Lagani, V., … Conesa, A. (2020). Metadata record for: STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.9773624.v2
  • Kuang, A., Erlund, I., Herder, C., Westerhuis, J. A., Tuomilehto, J., & Cornelis, M. C. (2020). Targeted proteomic response to coffee consumption. European Journal of Nutrition, 59(4), 1529-1539. https://doi.org/10.1007/s00394-019-02009-1
  • Westerhuis, J. A., van der Kloet, F., & Smilde, A. K. (2020). Data Fusion in Metabolomics. In R. Wehrens, & R. Salek (Eds.), Metabolomics: Practical Guide to Design and Analysis (pp. 157-176). (Chapman & Hall/CRC Mathematical and Computational Biology). CRC Press. https://doi.org/10.1201/9781315370583
  • Camacho, J., Smilde, A. K., Saccenti, E., & Westerhuis, J. A. (2020). All sparse PCA models are wrong, but some are useful. Part I: Computation of scores, residuals and explained variance. Chemometrics and Intelligent Laboratory Systems, 196, Article 103907. https://doi.org/10.1016/j.chemolab.2019.103907
  • Song, Y., Westerhuis, J. A., & Smilde, A. K. (2020). Logistic principal component analysis via non-convex singular value thresholding. Chemometrics and Intelligent Laboratory Systems, 204, Article 104089. https://doi.org/10.1016/j.chemolab.2020.104089
  • Open Access
    Pirok, B. W. J., & Westerhuis, J. A. (2020). Challenges in Obtaining Relevant Information from One- and Two-Dimensional LC Experiments. Supplement to LCGC North America solutions for seperation scientists, 6(38), 8, 10-14. https://doi.org/10.56530/lcgc.na.jk4782s5
  • Open Access
    van der Kloet, F. M., Buurmans, J., Jonker, M. J., Smilde, A. K., & Westerhuis, J. A. (2020). Increased comparability between RNA-Seq and microarray data by utilization of gene sets. PLoS Computational Biology, 16(9), Article e1008295. https://doi.org/10.1371/journal.pcbi.1008295
  • Open Access
    Tarazona, S., Balzano-Nogueira, L., Gómez-Cabrero, D., Schmidt, A., Imhof, A., Hankemeier, T., Tegnér, J., Westerhuis, J. A., & Conesa, A. (2020). Harmonization of quality metrics and power calculation in multi-omic studies. Nature Communications, 11, Article 3092. https://doi.org/10.1038/s41467-020-16937-8
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