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Search results for biblio_year:2020
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2013
K. Tøndel, J. O. Vik, H. Martens, U. G. Indahl, N. P. Smith and S. W. Omholt. "Hierarchical Multivariate Regression-Based Sensitivity Analysis Reveals Complex Parameter Interaction Patterns in Dynamic Models." Chemometrics and Intelligent Laboratory Systems 120 (2013): 25-41.
H. Martens, K. Tøndel, V. Tafintseva, A. Kohler, E. Plathe, J. O. Vik, A. B. Gjuvsland and S. W. Omholt. "PLS-Based Multivariate Metamodeling of Dynamic Systems." In New Perspectives in Partial Least Squares and Related Methods, edited by H. Abdi, W. W. Chin, V. E. Vinzi, G. Russolillo and L. Trinchera, 3-30. Vol. 56. New York: Springer, 2013.
2011
J. O. Vik, A. B. Gjuvsland, L. Li, K. Tøndel, S. A. Niederer, N. P. Smith, P. J. Hunter and S. W. Omholt. "Genotype-Phenotype Map Characteristics of an in Silico Heart Cell." Frontiers in Physiology 2 (2011): 106.
K. Tøndel, U. G. Indahl, A. B. Gjuvsland, J. O. Vik, P. J. Hunter, S. W. Omholt and H. Martens. "Hierarchical Cluster-Based Partial Least Squares Regression Is an Efficient Tool for Metamodelling of Nonlinear Dynamic Models." BMC Systems Biology 5 (2011): 90.