Katrijn Van Deun

Contact information

Katrijn Van Deun
Tiensestraat 102
3000 Leuven

Phone: (+32) 16 325888
Fax: (+32) 16 325993

Group by: Type / Year & Type

Thorrez, L., Laudadio, I., Van Deun, K., Quintens, R., Hendrickx, N., Granvik, M., Lemaire, K., Schraenen, A., Van Lommel, L., Lehnert, S., Aguayo-Mazzucato, C., Cheng-Xue, R., Gilon, P., Van Mechelen, I., Bonner-Weir, S., Lemaigre, F., & Schuit, F. (2011). Tissue-specific disallowance of housekeeping genes: The other face of cell differentiation. Genome Research, 21, 95-105. doi:10.1101/gr.109173.110
Van Deun, K., Wilderjans, T. F., van den Berg, R. A., Antoniadis, A., & Van Mechelen, I. (2011). A flexible framework for sparse simultaneous component based data integration. BMC Bioinformatics, 12, 448. doi:10.1186/1471-2105-12-448

Van Mechelen, I., & Van Deun, K. (2010). Multiple nested reductions of single data modes as a tool to deal with large data sets. In Y. Lechevallier & G. Saporta (Eds.), Proceedings of COMPSTAT'2010. 19th International Conference on Computational Statistics (pp. 349-358). Heidelberg: Physica-Verlag.

van den Berg, R. A., Van Mechelen, I., Wilderjans, T. F., Van Deun, K., Kiers, H. A. L., & Smilde, A. K. (2009). Integrating functional genomics data using maximum likelihood based simultaneous component analysis. BMC Bioinformatics, 10, 340. doi:10.1186/1471-2105-10-340
Van Deun, K., Hoijtink, H., Thorrez, L., Van Lommel, L., Schuit, F., & Van Mechelen, I. (2009). Testing the hypothesis of tissue selectivity: The intersection-union test and a Bayesian approach. Bioinformatics, 25, 2588-2594. doi:10.1093/bioinformatics/btp439
Van Deun, K., Smilde, A. K., van der Werf, M. J., Kiers, H. A. L., & Van Mechelen, I. (2009). A structured overview of simultaneous component based data integration. BMC Bioinformatics, 10, 246. doi:10.1186/1471-2105-10-246

Thorrez, L., Van Deun, K., Tranchevent, L., Van Lommel, L., Engelen, K., Marchal, K., Moreau, Y., Van Mechelen, I., & Schuit, F. (2008). Using ribosomal protein genes as reference: A tale of caution. PLoS ONE, 3, e1854, 1-8. doi:10.1371/journal.pone.0001854

Van Deun, K., Heiser, W. J., & Delbeke, L. (2007). Multidimensional unfolding by nonmetric multidimensional scaling of Spearman distances in the extended permutation polytope. Multivariate Behavioral Research, 42, 103-132. doi:10.1080/00273170701341167
Van Deun, K., Marchal, K., Heiser, W., Engelen, K., & Van Mechelen, I. (2007). Joint mapping of genes and conditions via multidimensional unfolding analysis. BMC Bioinformatics, 8, 181. doi:10.1186/1471-2105-8-181

Van Deun, K., & Groenen, P. J. F. (2005). Majorization algorithms for inspecting circles, ellipses, squares, rectangles, and rhombi. Operations Research, 53, 957-967. doi:10.1287/opre.1050.0253
Van Deun, K., Groenen, P. J. F., Heiser, W. J., Busing, F. M. T. A., & Delbeke, L. (2005). Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model. Psychometrika, 70, 45-69. doi:10.1007/s11336-002-1046-0

Name	Short description
GENEFOLD	GENEFOLD is a collection of MATLAB files that implement an algorithm for the multidimensional unfolding (MDU) analysis of large data sets.
BayesianIUT	BayesianIUT is a code for testing inequality constrained hypotheses using the intersection-union test or a Bayesian approuch thereof.