Markers of adenocarcinoma characteristic of the site of origin: development of a diagnostic algorithm JL Dennis, TR Hvidsten, EC Wit, J Komorowski, AK Bell, I Downie, ... Clinical Cancer Research 11 (10), 3766-3772, 2005 | 403 | 2005 |
‘All models are wrong...’: an introduction to model uncertainty E Wit, E Heuvel, JW Romeijn Statistica Neerlandica 66 (3), 217-236, 2012 | 390 | 2012 |
Etiologies and outcome of acute renal insufficiency in older adults: a renal biopsy study of 259 cases M Haas, BH Spargo, EJC Wit, SM Meehan American journal of kidney diseases 35 (3), 433-447, 2000 | 372 | 2000 |
Statistics for Microarrays: Design, Analysis and Inference E Wit, J McClure John Wiley & Sons, Ltd, 2004 | 369 | 2004 |
How scale-free are biological networks R Khanin, E Wit Journal of computational biology 13 (3), 810-818, 2006 | 324 | 2006 |
In vivo tracking of human hematopoiesis reveals patterns of clonal dynamics during early and steady-state reconstitution phases L Biasco, D Pellin, S Scala, F Dionisio, L Basso-Ricci, L Leonardelli, ... Cell stem cell 19 (1), 107-119, 2016 | 256 | 2016 |
Bayesian structure learning in sparse Gaussian graphical models A Mohammadi, EC Wit | 235 | 2015 |
Protein biogenesis machinery is a driver of replicative aging in yeast GE Janssens, AC Meinema, J Gonzalez, JC Wolters, A Schmidt, V Guryev, ... elife 4, e08527, 2015 | 176 | 2015 |
Who wants to be… The use of a personal response system in statistics teaching E Wit MSOR connections 3 (2), 14-20, 2003 | 171 | 2003 |
Autonomous metabolic oscillations robustly gate the early and late cell cycle A Papagiannakis, B Niebel, EC Wit, M Heinemann Molecular cell 65 (2), 285-295, 2017 | 155 | 2017 |
Identifying variables responsible for clustering in discriminant analysis of data from infrared microspectroscopy of a biological sample FL Martin, MJ German, E Wit, T Fearn, N Ragavan, HM Pollock Journal of Computational biology 14 (9), 1176-1184, 2007 | 136 | 2007 |
Sparse time series chain graphical models for reconstructing genetic networks F Abegaz, E Wit Biostatistics 14 (3), 586-599, 2013 | 132 | 2013 |
Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models M Sperrin, T Jaki, E Wit Statistics and Computing 20, 357-366, 2010 | 131 | 2010 |
An experimental evaluation of a loop versus a reference design for two-channel microarrays V Vinciotti, R Khanin, D D'Alimonte, X Liu, N Cattini, G Hotchkiss, G Bucca, ... Bioinformatics 21 (4), 492-501, 2005 | 125 | 2005 |
BDgraph: An R package for Bayesian structure learning in graphical models R Mohammadi, EC Wit arXiv preprint arXiv:1501.05108, 2015 | 114 | 2015 |
Near-optimal designs for dual channel microarray studies E Wit, A Nobile, R Khanin Journal of the Royal Statistical Society Series C: Applied Statistics 54 (5 …, 2005 | 96* | 2005 |
Identification from public data of molecular markers of adenocarcinoma characteristic of the site of origin JL Dennis, JK Vass, EC Wit, WN Keith, KA Oien Cancer research 62 (21), 5999-6005, 2002 | 92 | 2002 |
What is linguistic redundancy M Gillette, EJC Wit http://www.math.rug.nl/~ernst/linguistics/redundancy3.pdf, 1998 | 87* | 1998 |
Bayesian inference in hidden Markov random fields for binary data defined on large lattices N Friel, AN Pettitt, R Reeves, E Wit Journal of Computational and Graphical Statistics 18 (2), 243-261, 2009 | 82 | 2009 |
An investigation of emotion dynamics in major depressive disorder patients and healthy persons using sparse longitudinal networks S De Vos, KJ Wardenaar, EH Bos, EC Wit, MEJ Bouwmans, P De Jonge PLoS One 12 (6), e0178586, 2017 | 68 | 2017 |