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Katrijn Van Deun
ORCID
Publication Activity (10 Years)
Years Active: 2007-2023
Publications (10 Years): 2
Top Topics
Recursive Partitioning
Underlying Manifold
High Dimensions
High Dimensional Datasets
Top Venues
Adv. Data Anal. Classif.
BMC Bioinform.
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Publications
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Rosember Guerra-Urzola
,
Niek C. de Schipper
,
Anya Tonne
,
Klaas Sijtsma
,
Juan C. Vera
,
Katrijn Van Deun
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint.
Adv. Data Anal. Classif.
17 (1) (2023)
Katrijn Van Deun
,
Elise A. V. Crompvoets
,
Eva Ceulemans
Obtaining insights from high-dimensional data: sparse principal covariates regression.
BMC Bioinform.
19 (1) (2018)
Lisa L. Doove
,
Elise Dusseldorp
,
Katrijn Van Deun
,
Iven Van Mechelen
A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions.
Adv. Data Anal. Classif.
8 (4) (2014)
Katrijn Van Deun
,
Tom F. Wilderjans
,
Robert A. van den Berg
,
Anestis Antoniadis
,
Iven Van Mechelen
A flexible framework for sparse simultaneous component based data integration.
BMC Bioinform.
12 (2011)
Iven Van Mechelen
,
Katrijn Van Deun
Multiple Nested Reductions of Single Data Modes as a Tool to Deal with Large Data Sets.
COMPSTAT
(2010)
Katrijn Van Deun
,
Age K. Smilde
,
Mariët J. van der Werf
,
Henk A. L. Kiers
,
Iven Van Mechelen
A structured overview of simultaneous component based data integration.
BMC Bioinform.
10 (2009)
Robert A. van den Berg
,
Iven Van Mechelen
,
Tom F. Wilderjans
,
Katrijn Van Deun
,
Henk A. L. Kiers
,
Age K. Smilde
Integrating functional genomics data using maximum likelihood based simultaneous component analysis.
BMC Bioinform.
10 (2009)
Katrijn Van Deun
,
Herbert Hoijtink
,
Lieven Thorrez
,
Leentje Van Lommel
,
Frans Schuit
,
Iven Van Mechelen
Testing the hypothesis of tissue selectivity: the intersection-union test and a Bayesian approach.
Bioinform.
25 (19) (2009)
Katrijn Van Deun
,
Kathleen Marchal
,
Willem J. Heiser
,
Kristof Engelen
,
Iven Van Mechelen
Joint mapping of genes and conditions via multidimensional unfolding analysis.
BMC Bioinform.
8 (2007)