Katrijn Van Deun

Summary

Affiliation: Katholieke Universiteit Leuven
Country: Belgium

Publications

  1. pmc A flexible framework for sparse simultaneous component based data integration
    Katrijn Van Deun
    Center for Computational Systems Biology SymBioSys, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
    BMC Bioinformatics 12:448. 2011
  2. pmc Joint mapping of genes and conditions via multidimensional unfolding analysis
    Katrijn Van Deun
    SymBioSys, Catholic University of Leuven, Leuven, Belgium
    BMC Bioinformatics 8:181. 2007
  3. pmc A structured overview of simultaneous component based data integration
    Katrijn Van Deun
    SymBioSys, Katholieke Universiteit Leuven, Leuven, Belgium
    BMC Bioinformatics 10:246. 2009
  4. pmc Testing the hypothesis of tissue selectivity: the intersection-union test and a Bayesian approach
    K Van Deun
    Center for Computational Systems Biology SymBioSys, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
    Bioinformatics 25:2588-94. 2009
  5. pmc DISCO-SCA and properly applied GSVD as swinging methods to find common and distinctive processes
    Katrijn Van Deun
    Department of Psychology, Katholieke Universiteit Leuven, Leuven, Belgium
    PLoS ONE 7:e37840. 2012
  6. pmc Integrating functional genomics data using maximum likelihood based simultaneous component analysis
    Robert A van den Berg
    SymBioSys, Katholieke Universiteit Leuven, Leuven, Belgium
    BMC Bioinformatics 10:340. 2009
  7. pmc Using ribosomal protein genes as reference: a tale of caution
    Lieven Thorrez
    Gene Expression Unit, Department of Molecular Cell Biology, Katholieke Universiteit Leuven, Leuven, Belgium
    PLoS ONE 3:e1854. 2008
  8. pmc Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation
    Lieven Thorrez
    Gene Expression Unit, Department of Molecular Cell Biology, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
    Genome Res 21:95-105. 2011
  9. doi request reprint SCA with rotation to distinguish common and distinctive information in linked data
    Martijn Schouteden
    Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium
    Behav Res Methods 45:822-33. 2013

Detail Information

Publications9

  1. pmc A flexible framework for sparse simultaneous component based data integration
    Katrijn Van Deun
    Center for Computational Systems Biology SymBioSys, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
    BMC Bioinformatics 12:448. 2011
    ..However, the interpretation of the principal and simultaneous components is often daunting because contributions of each of the biomolecules (transcripts, proteins) have to be taken into account...
  2. pmc Joint mapping of genes and conditions via multidimensional unfolding analysis
    Katrijn Van Deun
    SymBioSys, Catholic University of Leuven, Leuven, Belgium
    BMC Bioinformatics 8:181. 2007
    ..Getting a clear visual overview of all these patterns in a single easy-to-grasp representation is a useful preliminary analysis step: We propose to use for this purpose an advanced exploratory method, called multidimensional unfolding...
  3. pmc A structured overview of simultaneous component based data integration
    Katrijn Van Deun
    SymBioSys, Katholieke Universiteit Leuven, Leuven, Belgium
    BMC Bioinformatics 10:246. 2009
    ..In this respect, the family of simultaneous component methods (e.g., SUM-PCA, unrestricted PCovR, MFA, STATIS, and SCA-P) is a natural choice. Yet, different simultaneous component methods may lead to quite different results...
  4. pmc Testing the hypothesis of tissue selectivity: the intersection-union test and a Bayesian approach
    K Van Deun
    Center for Computational Systems Biology SymBioSys, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
    Bioinformatics 25:2588-94. 2009
    ..However, two disadvantages of the IUT are that it is conservative and it conveys only the information of the least differing target tissue-other tissue pair...
  5. pmc DISCO-SCA and properly applied GSVD as swinging methods to find common and distinctive processes
    Katrijn Van Deun
    Department of Psychology, Katholieke Universiteit Leuven, Leuven, Belgium
    PLoS ONE 7:e37840. 2012
    ....
  6. pmc Integrating functional genomics data using maximum likelihood based simultaneous component analysis
    Robert A van den Berg
    SymBioSys, Katholieke Universiteit Leuven, Leuven, Belgium
    BMC Bioinformatics 10:340. 2009
    ..Subsequently, the performance of the two methods is evaluated by analysis of a real life Escherichia coli metabolomics data set...
  7. pmc Using ribosomal protein genes as reference: a tale of caution
    Lieven Thorrez
    Gene Expression Unit, Department of Molecular Cell Biology, Katholieke Universiteit Leuven, Leuven, Belgium
    PLoS ONE 3:e1854. 2008
    ..Recently, ribosomal protein genes have been suggested as reference genes based on a meta-analysis of publicly available microarray data...
  8. pmc Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation
    Lieven Thorrez
    Gene Expression Unit, Department of Molecular Cell Biology, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
    Genome Res 21:95-105. 2011
    ..Together, we provide a systematic analysis of tissue-specific repression of housekeeping genes, a phenomenon that has not been studied so far on a genome-wide basis and, when perturbed, can lead to human disease...
  9. doi request reprint SCA with rotation to distinguish common and distinctive information in linked data
    Martijn Schouteden
    Research Group for Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium
    Behav Res Methods 45:822-33. 2013
    ..This article proposes a novel method to disentangle the two kinds of information, by making use of the rotational freedom of component and factor models. We illustrate this method with data from a cross-cultural study of emotions. ..