Photo of Katrijn Van Deun
  • Prof. Cobbenhagenlaan 225, Simon Building, room S 718

    5037 DB Tilburg

    Netherlands

20052019
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Research Output 2005 2019

2019
1 Downloads (Pure)
Open Access
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Multiple Imputation
Nominal or categorical data
Longitudinal Data
Markov Model
Time Constant

Multiple salient goals pursued by job seekers in mandatory continuing professional education

Jacot, A., Raemdonck, I., Frenay, M. & Van Deun, K., 2019, In : Vocations and Learning. 12, 2, p. 297–317

Research output: Contribution to journalArticleScientificpeer-review

job seeker
education
qualification
taxonomy
unemployment
3 Downloads (Pure)

RegularizedSCA: Regularized simultaneous component analysis of multiblock data in R

Gu, Z. & Van Deun, K., 2019, In : Behavior Research Methods. 51, 5, p. 2268-2289

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
Information Storage and Retrieval
Computational Biology

Revealing the joint mechanisms in traditional data linked with big data

de Schipper, N. & Van Deun, K., 2019, In : Zeitschrift für Psychologie. 226, 4, p. 212-231

Research output: Contribution to journalArticleScientificpeer-review

Depression
Psychological
Human Behavior
Surveys and Questionnaires
Data Integration

Weighted sparse principal component analysis

Van Deun, K., Thorrez, L., Coccia, M., Hasdemir, D., Westerhuis, J., Smilde, A. K. & Van Mechelen, I., 2019, In : Chemometrics & Intelligent Laboratory Systems.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Principal component analysis
Vaccines
Transcription
MATLAB
2018
3 Downloads (Pure)
Open Access
File
4 Downloads (Pure)
Open Access
File

Introducing SNAC: Sparse Network and Component model for integration of multi-source data

Tio, P., Waldorp, L. J. & Van Deun, K., 2018, 23 p.

Research output: Working paperOther research output

19 Downloads (Pure)

Obtaining insights from high-dimensional data: Sparse principal covariates regression

Van Deun, K., Crompvoets, E. A. V. & Ceulemans, E., 2018, In : BMC Bioinformatics. 19, 1, 13 p., 104.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
Transcription
High-dimensional Data
Antibodies
Covariates
Genes
2017
14 Downloads (Pure)

Cellular and molecular synergy in AS01-adjuvanted vaccines results in an early IFNγ response promoting vaccine immunogenicity

Coccia, M., Collignon, C., Hervé, C., Chalon, A., Welsby, I., Detienne, S., van Helden, M., Dutta, S., Genito, C. J., Waters, N. C., Van Deun, K., Smilde, A. K., van den Berg, R. A., Franco, D., Bourguignon, P., Morel, S., Garçon, N., Lambrecht, B. N., Goriely, S., van der Most, R. & 1 others, Didierlaurent, A. M., 2017, In : npj Vaccines. 2, 25.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
Lymph Nodes
Immunologic Adjuvants
Vaccine Immunogenicity
Ligands
QS 21

RegularizedSCA: Regularized simultaneous component based data integration. R package version 0.4.2

Gu, Z. & Van Deun, K., 25 Jun 2017

Research output: Other contributionOther research output

2016

A variable selection method for simultaneous component based data integration

Gu, Z. & Van Deun, K., 15 Nov 2016, In : Chemometrics & Intelligent Laboratory Systems. 158, p. 187-199

Research output: Contribution to journalArticleScientificpeer-review

Data integration
Data structures
Throughput
Computer simulation
Metabolomics

Model selection in principal covariates regression

Vervloet, M., Van Deun, K., van den Noortgate, W. & Ceulemans, E., 2016, In : Chemometrics & Intelligent Laboratory Systems. 151, p. 26-33

Research output: Contribution to journalArticleScientificpeer-review

Recovery

QUINT: A tool to detect qualitative treatment-subgroup interactions in randomized controlled trials

Doove, L. L., Van Deun, K., Dusseldorp, E. & van Mechelen, I., 2016, In : Psychotherapy Research. 26, 5, p. 612-622

Research output: Contribution to journalArticleScientificpeer-review

2015
77 Downloads (Pure)

Not just a sum? Identifying different types of interplay between constituents in combined interventions

Van Deun, K., Thorrez, L., van den Berg, R. A., Smilde, A. K. & Van Mechelen, I., 2015, In : PLoS ONE. 10, 5, e0125334.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Unraveling affective dysregulation in borderline personality disorder: A theoretical model and empirical evidence

Ebner-Priemer, U. W., Houben, M., Santangelo, P., Kleindienst, N., Tuerlinckx, F., Oravecz, Z., Verleysen, G., Van Deun, K., Bohus, M. & Kuppens, P., 2015, In : Journal of Abnormal Psychology. 124, 1, p. 186-198

Research output: Contribution to journalArticleScientificpeer-review

Theoretical Models
2014

A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions

Doove, L. L., Dusseldorp, E., Van Deun, K. & Van Mechelen, I., 2014, In : Advances in Data Analysis and Classification. 8, 4, p. 403-425

Research output: Contribution to journalArticleScientificpeer-review

Performing DISCO-SCA to search for distinctive and common information in linked data

Schouteden, M., Van Deun, K., Wilderjans, T. F. & Van Mechelen, I., 2014, In : Behavior Research Methods. 46, 2, p. 576-587

Research output: Contribution to journalArticleScientificpeer-review

2013

Identifying common and distinctive processes underlying multiset data

Van Deun, K., Smilde, A. K., Thorrez, L., Kiers, H. A. L. & Van Mechelen, I., 2013, In : Chemometrics & Intelligent Laboratory Systems. 129, p. 40-51

Research output: Contribution to journalArticleScientificpeer-review

Gene expression
Immunology
Data integration
Singular value decomposition
Fermentation

On the selection of the weighting parameter value in Principal Covariates Regression

Vervloet, M., Van Deun, K., Van Den Noortgate, W. & Ceulemans, E., 2013, In : Chemometrics & Intelligent Laboratory Systems. 123, p. 36-43

Research output: Contribution to journalArticleScientificpeer-review

Principal component analysis
Linear regression
Tuning
Recovery

SCA with rotation to distinguish common and distinctive information in linked data

Schouteden, M., Van Deun, K., Pattyn, S. & Van Mechelen, I., 2013, In : Behavior Research Methods. 45, 3, p. 822-833

Research output: Contribution to journalArticleScientificpeer-review

Statistical Factor Analysis
Factor Analysis
Key Words
Emotion
Person
2012

DISCO-SCA and properly applied GSVD as swinging methods to find common and distinctive processes

Van Deun, K., Van Mechelen, I., Thorrez, L., Schouteden, M., De Moor, B., Van Der Werf, M. J., De Lathauwer, L., Smilde, A. K., Kiers, H. A. L. & Tramontano, A. (ed.), 2012, In : PLoS ONE. 7, 5, e37840.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Singular value decomposition
Information Storage and Retrieval
Genes
Data integration
Pheromones

ECO-POWER: A novel method to reveal common mechanisms underlying linked data

Schouteden, M., Van Deun, K. & van Mechelen, I., 2012, Proceedings of COMPSTAT'2012: 20th International Conference on Computational Statistics. Colubi, A., Fokianos, K., Kontoghiorghes, E. J. & Gonzalez-Rodriguez, G. (eds.). Heidelberg: Physica-Verlag, p. 757-768

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

2011

A flexible framework for sparse simultaneous component based data integration

Van Deun, K., Wilderjans, T. F., Van Den Berg, R. A., Antoniadis, A. & Van Mechelen, I., 2011, In : BMC Bioinformatics. 12, 1, 448.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Data integration
Data Integration
Lasso
Principal component analysis
Principal Component Analysis

Tissue-specific disallowance of housekeeping genes: The other face of cell differentiation

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, In : Genome Research. 21, 1, p. 95-105

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Essential Genes
Cell Differentiation
MicroRNAs
Epigenomics
Histones

Voorkeur van studenten en praktijkopleiders huisartsgeneeskunde voor specifieke CanMEDS-competenties: Hebben zij dezelfde voorkeur?

Krings, F. J., Goedhuys, J., de Mazière, P. & Van Deun, K., 2011, NVMO Congres 2011. Nederlandse Vereniging voor Medisch Onderwijs , 22

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

2010

Multiple nested reductions of single data modes as a tool to deal with large data sets

Van Mechelen, I. & Van Deun, K., 2010, Proceedings of COMPSTAT'2010. Lechevallier, Y. & Saporta, G. (eds.). Physica-Verlag, p. 349-358

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Tissue
Tsunamis
Genes
2009

A structured overview of simultaneous component based data integration

Van Deun, K., Smilde, A. K., Van Der Werf, M. J., Kiers, H. A. & Van Mechelen, I., 2009, In : BMC Bioinformatics. 10, 1, 246.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Data integration
Data Integration
Tissue culture
Biomolecules
Escherichia coli

Integrating functional genomics data using maximum likelihood based simultaneous component analysis

Van Den Berg, R. A., Van Mechelen, I., Wilderjans, T. F., Van Deun, K., Kiers, H. A. & Smilde, A. K., 2009, In : BMC Bioinformatics. 10, 1, 340.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Functional Genomics
Maximum likelihood
Maximum Likelihood
Escherichia coli
Recovery

Testing the hypothesis of tissue selectivity: The intersection-union test and a Bayesian approach

Van Deun, K., Hoijtink, H., Thorrez, L., Van Lommel, L., Schuit, F. & Van Mechelen, I., 2009, In : BMC Bioinformatics. 25, 19, p. 2588-2594

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Selectivity
Bayesian Approach
Union
Intersection
Tissue
2008

Using Ribosomal protein genes as reference: A tale of caution

Thorrez, L., Van Deun, K., Tranchevent, L., Van Lommel, L., Engelen, K., Marchal, K., Moreau, Y., Van Mechelen, I., Schuit, F. & Huang, S. (ed.), 2008, In : PLoS ONE. 3, 3, e1854.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Ribosomal Proteins
Genes
Essential Genes
Tissue
Microarrays
2007

Joint mapping of genes and conditions via multidimensional unfolding analysis

Van Deun, K., Marchal, K., Heiser, W. J., Engelen, K. & Van Mechelen, I., 2007, In : BMC Bioinformatics. 8, 1, 181.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Chromosome Mapping
Unfolding
Genes
Gene
Microarrays

Multidimensional unfolding by nonmetric multidimensional scaling of Spearman distances in the extended permutation polytope

Van Deun, K., Heiser, W. J. & Delbeke, L., 2007, In : Multivariate Behavioral Research. 42, 1, p. 103-132

Research output: Contribution to journalArticleScientificpeer-review

Unfolding
Polytope
Permutation
Scaling
Spearman's coefficient
2005

Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model

Van Deun, K., Groenen, P. J. F., Heiser, W. J., Busing, F. M. T. A. & Delbeke, L., 2005, In : Psychometrika. 70, 1, p. 45-69

Research output: Contribution to journalArticleScientificpeer-review

Unfolding
Majorization
Farthest Point
Loss Function
Signed

Majorization algorithms for inspecting circles, ellipses, squares, rectangles, and rhombi

Van Deun, K. & Groenen, P. J. F., 2005, In : Operations Research. 53, 6, p. 957-967

Research output: Contribution to journalArticleScientificpeer-review

Quality control
Majorization
Experiments
Archaeology
Numerical experiment

Multidimensionele schalering van conditionele datamatrices

Van Deun, K., 2005

Research output: ThesisDoctoral ThesisScientific