Search results
Results: 299
Number of items: 299
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Vis, D. J., Hendriks, M. M. W. B., Sailer, M., Smilde, A. K., Daniel, H., & Westerhuis, J. A. (2014). A technical note on challenge tests in human volunteers for multidimensional phenotyping. Chemometrics and Intelligent Laboratory Systems, 136, 81-84. https://doi.org/10.1016/j.chemolab.2014.05.006
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Saccenti, E., Hoefsloot, H. C. J., Smilde, A. K., Westerhuis, J. A., & Hendriks, M. M. W. B. (2014). Reflections on univariate and multivariate analysis of metabolomics data. Metabolomics, 10(3), 361-374. https://doi.org/10.1007/s11306-013-0598-6
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Mitra, V., Smilde, A., Hoefsloot, H., Suits, F., Bischoff, R., & Horvatovich, P. (2014). Inversion of peak elution order prevents uniform time alignment of complex liquid-chromatography coupled to mass spectrometry datasets. Journal of Chromatography A, 1373, 61-72. https://doi.org/10.1016/j.chroma.2014.10.101
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Mihaleva, V. V., van Schalkwijk, D. B., de Graaf, A. A., van Duynhoven, J., van Dorsten, F. A., Vervoort, J., Smilde, A., Westerhuis, J. A., & Jacobs, D. M. (2014). A systematic approach to obtain validated Partial Least Square models for predicting lipoprotein subclasses from serum NMR spectra. Analytical Chemistry, 86(1), 543-550. https://doi.org/10.1021/ac402571z
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Reshetova, P., Smilde, A. K., van Kampen, A. H. C., & Westerhuis, J. A. (2014). Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data. BMC Systems Biology, 8(suppl 2), S2. https://doi.org/10.1186/1752-0509-8-S2-S2 -
Kaduk, M., Hoefsloot, H. C. J., Vis, D. J., Reijmers, T., van der Greef, J., Smilde, A. K., & Hendriks, M. M. W. B. (2014). Correlated measurement error hampers association network inference. Journal of Chromatography B, 966, 93-99. https://doi.org/10.1016/j.jchromb2014.04.048
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Coccia, M., Herve, C., Collignon, C., Van Deun, K., van den Berg, R. A., Van Mechelen, I., Smilde, A. K., Morel, S., Garcon, N., van der Most, R., Van Mechelen, M., & Didierlaurent, A. M. (2014). Early NK cell activation as a result of MPL and QS-21 combination controls the adjuvant effect induced by the human Adjuvant System AS01. Immunology, 143(S2), 61. https://doi.org/10.1111/imm.12405 -
Hasdemir, D., Hoefsloot, H. C. J., Westerhuis, J. A., & Smilde, A. K. (2014). How informative is your kinetic model?: using resampling methods for model invalidation. BMC Systems Biology, 8, 61. https://doi.org/10.1186/1752-0509-8-61 -
Zha, Y., Westerhuis, J. A., Muilwijk, B., Overkamp, K. M., Nijmeijer, B. M., Coulier, L., Smilde, A. K., & Punt, P. J. (2014). Identifying inhibitory compounds in lignocellulosic biomass hydrolysates using an exometabolomics approach. BMC Biotechnology, 14, 22. https://doi.org/10.1186/1472-6750-14-22 -
Bro, R., & Smilde, A. K. (2014). Principal component analysis. Analytical Methods, 6(9), 2812-2831. https://doi.org/10.1039/c3ay41907j
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