| Using ribosomal protein genes as reference: a tale of caution L Thorrez, K Van Deun, LC Tranchevent, L Van Lommel, K Engelen, ... PloS one 3 (3), e1854, 2008 | 233 | 2008 |
| Cellular and molecular synergy in AS01-adjuvanted vaccines results in an early IFNγ response promoting vaccine immunogenicity M Coccia, C Collignon, C Hervé, A Chalon, I Welsby, S Detienne, ... NPJ vaccines 2 (1), 25, 2017 | 219 | 2017 |
| Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation L Thorrez, I Laudadio, K Van Deun, R Quintens, N Hendrickx, M Granvik, ... Genome research 21 (1), 95-105, 2011 | 203 | 2011 |
| Unraveling affective dysregulation in borderline personality disorder: a theoretical model and empirical evidence. UW Ebner-Priemer, M Houben, P Santangelo, N Kleindienst, F Tuerlinckx, ... Journal of abnormal psychology 124 (1), 186, 2015 | 175 | 2015 |
| A structured overview of simultaneous component based data integration K Van Deun, AK Smilde, MJ Van Der Werf, HAL Kiers, I Van Mechelen BMC bioinformatics 10, 1-15, 2009 | 136 | 2009 |
| A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions LL Doove, E Dusseldorp, K Van Deun, I Van Mechelen Advances in Data Analysis and Classification 8 (4), 403-425, 2014 | 72 | 2014 |
| A flexible framework for sparse simultaneous component based data integration K Van Deun, TF Wilderjans, RA Van Den Berg, A Antoniadis, ... BMC bioinformatics 12, 1-17, 2011 | 63 | 2011 |
| Performing DISCO-SCA to search for distinctive and common information in linked data M Schouteden, K Van Deun, TF Wilderjans, I Van Mechelen Behavior research methods 46, 576-587, 2014 | 62 | 2014 |
| SCA with rotation to distinguish common and distinctive information in linked data M Schouteden, K Van Deun, S Pattyn, I Van Mechelen Behavior research methods 45, 822-833, 2013 | 62 | 2013 |
| The COVID-19 outbreak increases maternal stress during pregnancy, but not the risk for postpartum depression MGBM Boekhorst, L Muskens, LP Hulsbosch, K Van Deun, V Bergink, ... Archives of women's mental health, 1-7, 2021 | 60 | 2021 |
| Symptom clusters in 1330 survivors of 7 cancer types from the PROFILES registry: a network analysis BH de Rooij, S Oerlemans, K van Deun, F Mols, KM de Ligt, O Husson, ... Cancer 127 (24), 4665-4674, 2021 | 57 | 2021 |
| DISCO-SCA and properly applied GSVD as swinging methods to find common and distinctive processes K Van Deun, I Van Mechelen, L Thorrez, M Schouteden, B De Moor, ... PloS one 7 (5), e37840, 2012 | 42 | 2012 |
| A guide for sparse pca: Model comparison and applications R Guerra-Urzola, K Van Deun, JC Vera, K Sijtsma psychometrika 86 (4), 893-919, 2021 | 35 | 2021 |
| Multidimensional unfolding by nonmetric multidimensional scaling of Spearman distances in the extended permutation polytope K Van Deun, WJ Heiser, L Delbeke Multivariate Behavioral Research 42 (1), 103-132, 2007 | 33 | 2007 |
| Identifying common and distinctive processes underlying multiset data K Van Deun, AK Smilde, L Thorrez, HAL Kiers, I Van Mechelen Chemometrics and Intelligent Laboratory Systems 129, 40-51, 2013 | 32 | 2013 |
| Testing the hypothesis of tissue selectivity: the intersection–union test and a Bayesian approach K Van Deun, H Hoijtink, L Thorrez, L Van Lommel, F Schuit, ... Bioinformatics 25 (19), 2588-2594, 2009 | 27 | 2009 |
| Multidimensional scaling K Van Deun, L Delbeke World Wide Web: http://www uni-bonn de/mathpsyc/doc/delbeke/delbeke htm, 1999 | 26 | 1999 |
| Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model KV Deun, PJF Groenen, WJ Heiser, F Busing, L Delbeke psychometrika 70, 45-69, 2005 | 24 | 2005 |
| Model selection in principal covariates regression M Vervloet, K Van Deun, W Van den Noortgate, E Ceulemans Chemometrics and Intelligent Laboratory Systems 151, 26-33, 2016 | 22 | 2016 |
| On the selection of the weighting parameter value in principal covariates regression M Vervloet, K Van Deun, W Van den Noortgate, E Ceulemans Chemometrics and Intelligent Laboratory Systems 123, 36-43, 2013 | 22 | 2013 |
