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.

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Full LASR2004 booklet (c3.4MB).


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Extra pages

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

Papers

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 l1 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.


Posters

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.