Ernst Wit
Ernst Wit
Professor of Statistics and Data Science, Universita della Svizzera italiana, COSTNET CA15109
Verified email at - Homepage
Cited by
Cited by
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
‘All models are wrong...’: an introduction to model uncertainty
E Wit, E Heuvel, JW Romeijn
Statistica Neerlandica 66 (3), 217-236, 2012
Statistics for Microarrays: Design, Analysis and Inference
E Wit, J McClure
John Wiley & Sons, Ltd, 2004
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
How scale-free are biological networks
R Khanin, E Wit
Journal of computational biology 13 (3), 810-818, 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
Bayesian structure learning in sparse Gaussian graphical models
A Mohammadi, EC Wit
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
Who wants to be… The use of a personal response system in statistics teaching
E Wit
MSOR connections 3 (2), 14-20, 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
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
Sparse time series chain graphical models for reconstructing genetic networks
F Abegaz, E Wit
Biostatistics 14 (3), 586-599, 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
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
BDgraph: An R package for Bayesian structure learning in graphical models
R Mohammadi, EC Wit
arXiv preprint arXiv:1501.05108, 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
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
What is linguistic redundancy
M Gillette, EJC Wit, 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
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
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