R. Wehrens
Data Mapping: Linear Methods versus Nonlinear
Techniques.
In: Brown S, Tauler R, Walczak R (eds.) Comprehensive
Chemometrics, volume 2, pp. 619-633 Oxford: Elsevier, 2009.
J.R. de Haan, S. Bauerschmidt, R.C. van Schaik, E. Piek, L.M.C. Buydens and R. Wehrens
Robust ANOVA for microarray data
Chemom. Intell. Lab. Syst., 98, 38-44, 2009.
DOI: http://dx.doi.org/10.1016/j.chemolab.2009.04.011
R. Wehrens
Self-organising maps for image segmentation
Proceedings of the GfKl 2008 conference, Hamburg. Springer Verlag,
2009.
Book homepage
R. Huo, R. Wehrens, and L.M.C. Buydens
Robust DOSY NMR data analysis
Chemom. Intell. Lab. Syst., 85, 9-19, 2007.
J.R. de Haan, R. Wehrens, S. Bauerschmidt, E. Piek, R.C. van
Schaik and L.M.C. Buydens
Interpretation of ANOVA models for microarray data using PCA
Bioinformatics, 23, 184-190, 2007.
Supplementary material:
anpca.synth.R
and biplot.R (R
scripts)
B.-H. Mevik and R. Wehrens
The pls Package:
Principal Component and Partial Least Squares Regression in R
J. Stat. Softw., 18(2), 2007.
S. Denissov, M. van Driel, R. Voit, M. Hekkelman, T. Hulsen,
N. Hernandez, I. Grummt, R. Wehrens and H. Stunnenberg
Identification
of novel functional TBP-binding sites and general factor repertoires
EMBO J., 26, 944-954, 2007.
E.L. Willighagen, R. Wehrens, W. Melssen,
R. de Gelder, and L.M.C. Buydens
Supervised self-organizing maps in crystal
property and structure prediction
Cryst. Growth & Des., 7 (9), 1738 -1745, 2007.
R. Wehrens and L.M.C. Buydens
Self- and
Super-Organising Maps in R: the kohonen package
J. Stat. Softw., 21(5), 2007.
E. Willighagen, R. Wehrens, and L.M.C. Buydens
Molecular Chemometrics
Crit. Reviews Anal. Chem., 36, 189-198, 2006.
T.N. Tran, R. Wehrens, and L.M.C. Buydens
SMIXTURE: a strategy for mixture models clustering of
multivariable images
J. Chemom., 19, 607-614, 2006.
W.J. Melssen, R. Wehrens, and L.M.C. Buydens
Supervised Kohonen networks for classification problems
Chemom. Intell. Lab. Syst., 83, 99-113, 2006.
T.N. Tran, R. Wehrens and L.M.C. Buydens
KNN-kernel density-based clustering for high-dimensional
multivariate data
J. Comput. Statist. Data Anal., 51, 513-525, 2006.
E.L. Willighagen, H.M.G.W. Denissen, R. Wehrens, and
L.M.C. Buydens
On the use of 1H and 13C NMR spectra as QSAR descriptors
J. Chem. Inf. Model., 46, 487-494, 2006.
R. Huo, C. Geurts, J. Brands, R. Wehrens and L.M.C. Buydens
Real life applications of the MULVADO software package
for processing DOSY NMR data
Magn. Reson. Chem., 44, 110-117, 2006.
R. Wehrens and E.L. Willighagen
Mapping
databases of X-ray powder patterns
RNews, 6(3), 24-28, August 2006.
R. Wehrens, W.J. Melssen, L.M.C. Buydens and R. de Gelder
Representing
Structural Databases in a Self-Organising Map
Acta Cryst. B61, 548-557, 2005.
T.N. Tran, R. Wehrens, D.H. Hoekman and L.M.C. Buydens
Initialization of Markov Random Field clustering of
large polarimetric SAR images
IEEE Trans. Geosc. Remote Sens., 43, 1912-1919, 2005.
C. Fraley, A.E. Raftery and R. Wehrens
Incremental Model-Based Clustering for Large Datasets with Small Clusters
J. Comput. Graph. Statist., 14, 1-18, 2005.
Also appeared as Techn.
Report no. 439, Dept. of Statistics, University of Washington, December 2003.
Supplementary material: St. Paulia
data (courtesy of J. Noordam, Agrotechnology and Food Innovations
B.V., Wageningen, NL)
U. Thissen, H. Swierenga, A.P. de Weijer, R. Wehrens,
W.J. Melssen and L.M.C. Buydens
Multivariate Statistical Process Control Using Mixture Modelling
J. Chemom., 19, 23-31, 2005.
T.N. Tran, R. Wehrens, and L.M.C. Buydens
Clustering multispectral images: a tutorial
Chemom. Intell. Lab. Syst., 77, 3-17, 2005.
L. Kooistra, M.A.J. Huijbregts, A.M.J. Ragas,
R. Wehrens and R.S.E.W. Leuven
Spatial variability and uncertainty in ecological risk
assessment: a case study on the potential risk of cadmium for the
little owl in a Dutch river flood plain
Environ. Sci. Technol., 39, 2177-2187, 2005.
E.L. Willighagen, R. Wehrens, P. Verwer, R. de Gelder
and L.M.C. Buydens
A method for the computational comparison of crystal structures
Acta Cryst., B61, 29-36, 2005.
R. Huo, R. van de Molengraaf, J.A. Pikkemaat,
R. Wehrens, and L.M.C. Buydens
Diagnostic analysis of experimental artefacts in DOSY NMR data
by covariance matrix of the residuals
J. Magn. Reson., 172, 346--358, 2005.
R. Wehrens, L.M.C. Buydens, C. Fraley and A.E. Raftery
Model-based clustering for image segmentations and large datasets
via sampling
J. Classif. 21, 231--253, 2004.
Also appeared as
Techn.
Report no. 424, Dept.
of Statistics, University of Washington, Februari 2003.
Supplementary material
R. Huo, R. Wehrens, and L.M.C. Buydens
Improved DOSY NMR data processing by data enhancement and
combination of multivariate curve resolution with
non-linear least squares fitting
J. Magn. Reson., 169(2), 257-269, 2004.
D.S. de Jong, B.L.T. Vaes, K.J. Dechering, A. Feijen,
J.M.A. Hendriks, R. Wehrens, C.L. Mummery, E.J.J. van Zoelen,
W. Olijve and W.T. Steegenga
Identification of novel regulators associated with early-phase
osteoblast differentiation
J. Bone Miner. Res.,
19(6), 947-958, 2004.
L. Kooistra, E.A.L. Salas, J.P.G.W. Clevers,
R. Wehrens, R.S.E.W. Leuven, P.H. Nienhuis, and L.M.C. Buydens
Exploring field vegetation reflectance as an indicator of soil
contamination in river floodplains
Environm. Pollut., 127(2), 281-290, 2004.
L. Kooistra, R.S.E.W. Leuven, P.H. Nienhuis, R. Wehrens,
and L.M.C. Buydens.
Incorporating spatial variability of exposure in ecological risk
assessment of polluted floodplains using a combined GIS-Monte Carlo appraoch.
In R.S.E.W. Leuven, A.G. van Os and P. Nienhuis, editors,
Proceedings NCR-symposium 2002,
NCR technical report 20-2003, 148-150, October 2003.
L. Kooistra, R.S.E.W. Leuven, R. Wehrens, P.H. Nienhuis and
L.M.C. Buydens
A comparison of methods to relate grass reflectance to soil metal
contamination
Int. J. Remote Sens., 24(24), 4995-5010, 2003.
J.A. Hageman, M. Streppel, R. Wehrens and L.M.C. Buydens
Wavelength selection with tabu search
J. Chemom., (special ICRM 2002 issue),
17, 427-437, 2003.
T.N. Tran, R. Wehrens and L.M.C. Buydens
Sparef: A Clustering Algorithm for Multispectral Images
Anal. Chim. Acta (special CAC 2002 issue),
490, 303-312, 2003.
R. Huo, R. Wehrens, J. van Duynhoven and L.M.C. Buydens
Assessment of techniques for DOSY NMR data processing.
Anal. Chim. Acta (special CAC 2002 issue),
490, 231-251, 2003.
J.A. Hageman, R. Wehrens, H.A. van Sprang and L.M.C. Buydens
A hybrid Genetic Algorithm-Tabu Search approach for optimising
multilayer optical coatings.
Anal. Chim. Acta (special CAC 2002 issue),
490, 211-222, 2003.
T.N. Tran, R. Wehrens and L.M.C. Buydens
KNN density-based clustering for high-dimensional multispectral
images.
Proc. 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and
Data Fusion over Urban Areas, URBAN 2003, May 2003, Berlin, Germany.
L. Kooistra, J. Wanders, G.F. Epema,
R.S.E.W. Leuven, R. Wehrens, L.M.C. Buydens
The potential of field spectroscopy for the assessment of sediment
properties in river floodplains
Anal. Chim. Acta, 484, 189-200, 2003.
J.A. Hageman, R. Wehrens, R. de Gelder and L.M.C. Buydens
Powder pattern indexing using the weighted cross correlation and
genetic algorithms
J. Comp. Chem., 24, 1043--1051, 2003.
R. Wehrens, A.W. Simonetti and L.M.C. Buydens
Mixture modelling of medical magnetic resonance data
J. Chemom., 16, 274--282, 2002.
L. Kooistra, R.S.E.W. Leuven, R. Wehrens, L.M.C. Buydens, and
P.H. Nienhuis.
GIS as a tool for incorporating spatial variability of
pollutants in ecological risk assessments of Dutch river
floodplains.
In R.S.E.W. Leuven, I. Poudevigne, and C. Westwood, editors,
Application of Geographic Information Systems and Remote
Sensing in River Studies.
Backhuys Publishers, Leiden, pp. 133-146, 2002.
L. Kooistra, R. Wehrens, L.M.C. Buydens, R.S.E.W. Leuven, and
P.H. Nienhuis.
Possibilities of soil spectroscopy for the classification of
contaminated areas in river floodplains.
J. Appl. Earth Obs. Geoinf., 3(4), 337-344, 2001.
L. Kooistra, R. Wehrens, R.S.E.W. Leuven, and L.M.C. Buydens.
Possibilities of VNIR spectroscopy for the assessment of soil
contamination in river floodplains.
Anal. Chim. Acta, 446, 97-105, 2001.
T.H. Reijmers, R. Wehrens, and L.M.C. Buydens.
The influence of different structure representations on the
clustering of an RNA nucleotides data set.
J. Chem. Inf. Comput. Sci., 41 (5), 1388-1394, 2001.
R. Wehrens, P.J. de Groot, E. Swierenga and L.M.C. Buydens.
Meer en betere analyseresultaten met minder inspanning:
chemometrie krachtig 'analyse-instrument'.
Lab. Mag., 37 (2), 30-32, 2001. In Dutch.
L. Kooistra, R.S.E.W. Leuven, R. Wehrens, L.M.C. Buydens, and
P.H. Nienhuis.
A procedure for incorporating spatial variability in ecological risk
assessment for Dutch river floodplains.
Environm. Managem., 28(3), 359-373, 2001.
G.J. Kemperman, R. de Gelder, R. Wehrens, F.J. Dommerholt,
A.J.H. Klunder, L.M.C. Buydens, and B. Zwanenburg.
A computational model to predict clathration of molecules with
cephradine
J. Chem. Soc., Perkin Trans. 2, 981-987, 2001.
T.H. Reijmers, R. Wehrens and L.M.C. Buydens.
Circular effects in representations of an RNA nucleotides data set in
relation with principal components analysis.
Chemom. Intell. Lab. Syst., 56(2), 61-71, 2001.
R. de Gelder, R. Wehrens, and J.A. Hageman.
A generalized expression for the similarity spectra: application to
powder diffraction pattern classification.
J. Comput. Chem., 22(3), 273-289, 2001.
A.W. Simonetti, R. Wehrens, and L.M.C. Buydens
Segmentation of Chemical Shift Images with Mixture Modeling
In Lecture Notes in Computer Science, W. Niessen and
M. Viergever (Eds.), 2208, 1187-1188, 2001.
F. van Keulen and R. Wehrens.
Software review: SC-Biplot.
Chemom. Intell. Lab. Syst., 51(1), 139-140, 2000.
R. Wehrens, H. Putter, and L.M.C Buydens.
The bootstrap: a tutorial.
Chemom. Intell. Lab. Syst., 54(1), 35-52, 2000.
R. Wehrens and L.M.C. Buydens.
Classical and non-classical optimisation methods.
In R.A. Meyers, editor, Encyclopedia of Analytical Chemistry,
9678-9689. John Wiley & Sons, Chichester, 2000.
R. Wehrens and L.M.C. Buydens.
Chemometrics.
In D.E. Clark, editor, Evolutionary algorithms in molecular
design, chapter 6. VCH/Wiley, New York, 2000.
R. Wehrens.
Small-molecule conformational search.
In D.E. Clark, editor, Evolutionary algorithms in molecular
design, chapter 2. VCH/Wiley, New York, 2000.
J.A. Hageman, R. Wehrens, R. de Gelder, W.L. Meerts, and
L.M.C. Buydens.
Fitting fluorescence spectra with genetic algorithms.
In Parallel Problem Solving from Nature VI, page 702. Springer
Verlag, 2000.
Lecture Notes in Computer Science.
J.A. Hageman, R. Wehrens, R. de Gelder, W.L. Meerts, and
L.M.C. Buydens.
Direct determination of rotational constants from rovibronic spectra
with genetic algorithms.
J. Chem. Phys., 113(18), 7955-7962, 2000.
L. Kooistra, R. Wehrens, L.M.C. Buydens, R.S.E.W. Leuven, and
P.H. Nienhuis.
Possibilities of imaging spectroscopy for the classification of
contaminated areas in river floodplains.
In Proc. EARSEL workshop, Enschede, The Netherlands, July 2000.
R. Wehrens, E. Pretsch, and L.M.C. Buydens.
The quality of optimisation by genetic algorithms.
Anal. Chim. Acta, 388, 265-271, 1999.
R. Wehrens, R. de Gelder, G.J. Kemperman, B. Zwanenburg, and
L.M.C. Buydens.
Molecular challenges in modern chemometrics.
Anal. Chim.
Acta, 400, 413-424, 1999.
L.M.C. Buydens, T.H. Reymers, M.L.M. Beckers, and R. Wehrens.
Molecular data mining: a challenge for chemometrics.
Chemom.
Intell. Lab. Syst., 49(2), 121-133, 1999.
T.H. Reijmers, R. Wehrens, F.D. Daeyaert, P.J. Lewi, and
L.M.C. Buydens.
Using genetic algorithms for the construction of phylogenetic trees.
Application to G-protein coupled receptor species.
Biosystems, 49, 31-43, 1999.
T.H. Reijmers, R. Wehrens, and L.M.C. Buydens.
Quality criteria of genetic algorithms for the construction of
phylogenetic trees.
J. Comput. Chem., 20, 867-876, 1999.
R. Wehrens, E. Pretsch, and L.M.C. Buydens.
Quality criteria of genetic algorithms for structure optimisation.
J. Chem. Inf. Comput. Sci., 38(2), 151-157, 1998.
R. Wehrens and L.M.C. Buydens.
Evolutionary optimisation: a tutorial.
Tr. Anal. Chem., 17(4), 193-203, 1998.
Supplementary material
R. Wehrens and W.E. van der Linden.
Bootstrapping principal-component regression models.
J. Chemom., 11(2), 157-171, 1997.
R. Wehrens and W.E. van der Linden.
Calibration of an array of voltammetric micro-electrodes.
Anal. Chim.
Acta, 334, 93-101, 1996.
R. Wehrens, L.M.C. Buydens, F.A. Maris, and H. Hindriks.
Prediction of a suitable mobile-phase composition in reversed-phase
HPLC using fragmental constants.
Chemom.
Intell. Lab. Syst., 25, 341-354, 1994.
R. Wehrens
BIAS brengt vervuiling in kaart.
Chemisch Magazine, 155-161 (1994). In Dutch.
R. Wehrens.
Self-adaptive expert systems.
In L. Buydens and P. Schoenmakers, editors, Intelligent Software
for Chemical Analysis, chapter 6, pages 225-260. Elsevier Science
Publishers, Amsterdam, 1993.
R. Wehrens and L. Buydens.
Inductive expert systems.
In L. Buydens and P. Schoenmakers, editors, Intelligent Software
for Chemical Analysis, chapter 7, pages 261-279. Elsevier Science
Publishers, Amsterdam, 1993.
L. Buydens, J.A. van Leeuwen, and R. Wehrens.
Expert-system-development tools.
In L. Buydens and P. Schoenmakers, editors, Intelligent Software
for Chemical Analysis, chapter 4, pages 121-151.
Elsevier, Amsterdam, 1993.
R. Wehrens, P. van Hoof, L. Buydens, G. Kateman, M. Vossen,
W.H. Mulder, and T. Bakker.
Sampling of aquatic sediments. the design of a decision-support
system and a case study.
Anal. Chim.
Acta, 271, 11-24, 1993.
R. Wehrens, C. Lucasius, L. Buydens, and G. Kateman.
HIPS, a hybrid self-adapting expert system for NMR spectrum
interpretation using genetic algorithms.
Anal. Chim.
Acta, 277, 313-324, 1993.
R. Wehrens, C. Lucasius, L. Buydens, and G. Kateman.
Sequential assignment of 2D NMR spectra of proteins using genetic
algorithms.
J. Chem. Inf. Comp. Sci., 33, 245-251, 1993.
R. Wehrens.
BIAS, een adviserend kennissysteem voor de bemonstering van
aquatische sedimenten.
In I. Staritsky, editor, Proceedings Workshop ``Variabiliteit
van bodemverontreiniging en de consequenties voor risicoafweging,
Wageningen, The Netherlands, februari 1993.
In Dutch.
R. Wehrens, L. Buydens, and G. Kateman.
Validation and refinement of expert systems: interpretation of NMR
spectra as an application in analytical chemistry.
Chemom. Intell. Lab. Syst., 12, 57-68,
1991.
R. Wehrens, L. Buydens, and G. Kateman.
Performance validation and optimization of expert systems in
analytical chemistry.
In Proc. Int. Conf. Expert Systems & their Applications, pages
279-287, Avignon, 1991.