## Bioinformatics, Images, and Wavelets |

To obtain a copy of the Workshop Programme and Abstracts booklet either download the single gzipped tar file, then extract in the usual way, or download individual files for selected papers.

We hope that you find these papers useful. If you do, then please give full acknowledgment using the bibliographic information as indicated below.

Cover; Inside cover; Title page; Preface; Contents page; Timetable; Abstract section divider Session dividers; List of Participants; Author Index.

Mardia, K.V. (2004).
LASR workshops and emerging methodologies
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 7-15. Department of Statistics, University of Leeds.

Lio, P. (2004).
Wavelets in genome sequence and microarray analysis
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 17. Department of Statistics, University of Leeds.

Shanahan, H.P. & Thornton, J.M. (2004).
Solubility as an evolutionary constraint
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 19-22. Department of Statistics, University of Leeds.

Westhead, D.R & Bradford, J.R. (2004).
Interesting problems for learning and statistics in biology
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 27-28. Department of Statistics, University of Leeds.

Wilkinson, D.J. & Boys, R.J. (2004).
Bayesian inference for stochastic kinetic genetic regulatory networks
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 29-32. Department of Statistics, University of Leeds.

Kent, J.T., Mardia, K.V., & Taylor, C.C. (2004).
Matching problems for unlabelled configurations
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 33-36. Department of Statistics, University of Leeds.

Lee, J.L, Paige, R., Patrangenaru, V., & Ruymgaart, F. (2004).
Nonparametric density estimation on homogeneous spaces in high level image analysis
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 37-40. Department of Statistics, University of Leeds.

A revised version of this paper is also available.

Bookstein, F.L. (2004).
On a surprising bridge between morphometrics and bioinformatics
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 41-45. Department of Statistics, University of Leeds.

Pournara, I. & Wernisch, L. (2004).
Learning Bayesian networks from microarray data using multivariate linear splines
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 47. Department of Statistics, University of Leeds.

Whitcher, B. (2004).
Wavelet-based bootstrapping for MRI data
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 53-56. Department of Statistics, University of Leeds.

Sendur, L., Maxim, V., Whitcher, B., & Bullmore, E.(2004).
Enhanced false discovery rate correction via wavelet-based denoising: An application to human functional MRI data
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 57-60. Department of Statistics, University of Leeds.A

Lark, R.M. (2004).
Analysis of complex soil variation using wavelets
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 61-64. Department of Statistics, University of Leeds.

Sardy, S. (2004).
Reconstruction of brain images with a spatiotemporal *l*_{1}
Markov random field penalized likelihood approach
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 65-68. Department of Statistics, University of Leeds.

Sternberg, M.J.E, Balding, D., Carter, P.,
Fleming, K., Kelley, L., Mayor, L., MacCallum, R., Muller, A.,
Pazos, F., & Smith, G., (2004).
Empirical methods in protein modelling
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 71-72. Department of Statistics, University of Leeds.

Stark, A., & Russell, R.B. (2004).
Active site comparison: Assigning function to protein structures
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 73. Department of Statistics, University of Leeds.

Gold, N. & Jackson, R. (2004).
A searchable database for comparing protein-ligand binding sites
for the discovery of structure-function relationships
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 75-76. Department of Statistics, University of Leeds.

Veretennikov, A.Y. & Zhizhina, E.A. (2004).
On stochastic algorithms for the global optimization problem
on a torus
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 77-81. Department of Statistics, University of Leeds.

A revised version of this paper is also available.

Ali, Q.M. & Farooq, O. (2004).
Wavelet transform for denoising and quantification of microarray data
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 81-84. Department of Statistics, University of Leeds.

Goodall, C. (2004).
Data analysis by regular expressions and the analysis of event sequences
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 87-88. Department of Statistics, University of Leeds.

Kornak, J., Young, K., Schuff, N., Maudsley, A.A., & Weiner, M.W. (2004).
Bayesian reconstruction of low resolution magnetic resonance imaging modalities
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 89-82. Department of Statistics, University of Leeds.

Zimeras, S. & Karangelis, G. (2004).
Interactive segmentation techniques of volume data sets using CT medical image sequences
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 93-96. Department of Statistics, University of Leeds.

Aykroyd, R.G., Cattle, B.A., & West, R.M. (2004).
Boundary element methods and MCMC for object location applied to electrical tomography
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 97-100. Department of Statistics, University of Leeds.

Sahu, S.K. (2004).
Spatio-temporal modeling and short-term forecasting of fine particulate matter
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 101-104. Department of Statistics, University of Leeds.

Lasinio, G.J. & Orasi, A. (2004).
Reconstruction of rainfall fields by spatio-temporal models using radar and raingauges measurements
in Southern Italy
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 105-108. Department of Statistics, University of Leeds.

McEwen, G. & Gilks, W. (2004).
Detecting non-coding RNAs in vertebrate genomes
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 109-110. Department of Statistics, University of Leeds.

Ababneh, F. & Robinson, J. (2004).
Models and estimation for phylogenetic trees
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 113-114. Department of Statistics, University of Leeds.

Alhajraf, A.F. & Mardia, K.V. (2004).
Bayesian kriged Kalman filter model assessment using cross-validation
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 115. Department of Statistics, University of Leeds.

Alshabani, A.K., Dryden, I.L., & Litton, C.D. (2004).
Bayesian analysis of human movement data using MCMC methods
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 116. Department of Statistics, University of Leeds.

Aykroyd, R.G. & Hamed, F.O. (2004).
Dominant direction of natural textures using a modified Hough transform approach
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 117-118. Department of Statistics, University of Leeds.

Brutti, P. & Lasinio, G.J. (2004).
Variable bandwidth schemes for local polynomial smoothers via vertical
wavelet thresholding
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 119-121. Department of Statistics, University of Leeds.

Di Gacinto, V., Dryden, I.L., Ippoliti, L., & Romagnoli, L. (2004).
Linear smoothing of noisy spatial temporal series
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 122. Department of Statistics, University of Leeds.

Doncescu, A., Manyri, L., & Regis, S. (2004).
Wavelet analysis for morphological characterization of *Saccharomyces Cerivisiae*
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 123-125. Department of Statistics, University of Leeds.

Goodwin, D.A., Barber, S., & Aykroyd, R.G. (2004).
Wavelet packet modelling of seismic data
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 126-129. Department of Statistics, University of Leeds.

Hiassat, M. & Mort, N.(2004).
An evolutionary method for term selection in the group method of data handling
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 130-133. Department of Statistics, University of Leeds.

Johneff, V. (2004).
Complex valued wavelet analysis for QRS
detection in ECG signals
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 134-136. Department of Statistics, University of Leeds.

Mardia, K.V. & Nyirongo, V. (2004).
Procrustes statistics for unlabelled points and applications
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 137. Department of Statistics, University of Leeds.

Matin, M.A., Mardia, K.V., & Taylor, C.C. (2004).
Support vector machines-type procedure through kriging
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 138-140. Department of Statistics, University of Leeds.

Popa, M. & Nason, G.P. (2004).
Using an adaptive lifting scheme in predicting transmembrane helix locations
along a protein sequence
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 141-142. Department of Statistics, University of Leeds.

Quinn, L., Mobbs, S.J., Mardia, K.V., & Vosper, S.B. (2004).
Spatiotemporal analysis of airflow over hills
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 143-145. Department of Statistics, University of Leeds.

Mardia, K.V., Taylor, C.C., & Subramaniam, M. (2004).
EM algorithm for bivariate circular distributions
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 146-151. Department of Statistics, University of Leeds.

Xu, C., Dowd, P.A., Mardia, K.V., & Fowell, R.J. (2004).
Simulating mark correlations in spatial point processes
In R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.),
*Bioinformatics, Images, and Wavelets*,
pp. 152-154. Department of Statistics, University of Leeds.