Statistical Tools for Challenges in Bioinformatics

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

Entire proceedings booklet

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INDIVIDUAL PDF FILES

Mardia, K.V. (2009). Statistical complexity in protein bioinformatics. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.9-20. Leeds, Leeds University Press.

Richardson, S. (2009). Bayesian sparse regression models of high dimensional data. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.21-22. Leeds, Leeds University Press.

Bowman, C.E., and Delrieu, O. (2009). Correlation laplacians, haplotype networks and residual pharmacogenetics. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.25-31. Leeds, Leeds University Press.

Lynch, A.G., Smith, M.L., Dunning, M.J., Cairns, J.M., Barbosa-Morais, N.L., and Tavare, S. (2009). beadarray, BASH and HULK - tools to increase the value of Illumina BeadArray experiments. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.33-37. Leeds, Leeds University Press.

Kent, J.T., and Mardia, K.V. (2009). Principal Component analysis for the wrapped normal torus model. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.39-41. Leeds, Leeds University Press.

Dryden, I.L., Koloydenko, A., and Zhou, D. (2009). Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.43-46. Leeds, Leeds University Press.

Bookstein, F. (2009). For isotropic offset normal shape distributions, covariance distance is proportional to Procrustes distance. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.47-51. Leeds, Leeds University Press.

Theobald, D.L. (2009). A nonisotropic Bayesian approach for superpositioning multiple macromolecules. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.55-59. Leeds, Leeds University Press.

Taylor, W. (2009). Protein folds and fold-space. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.63. Leeds, Leeds University Press.

Bprg, M., Boomsma, W., Ferkinghoff-Borg, J., Frellsen, J., Harder, T., Mardia, K.V., Rogen, P., Stovgaard, K., and Hamelryck, T. (2009). A probabilistic approach to protein structure prediction: PHAISTOS in CASP8. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.65-70. Leeds, Leeds University Press.

Westhead, D., Whitaker, J.W., and McConkey, G.A. (2009). Genomic scale analysis of horizontal gene transfer from bacteria to unicellular eukaryotes. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.71. Leeds, Leeds University Press.

Henderson, P.J. (2009). A structural genomics approach to membrane transport proteins. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.73-77. Leeds, Leeds University Press.

Jackson, R.M. (2009). Exploring protein binding site similarity. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.79. Leeds, Leeds University Press.

Wild, D.L. (2009). Statistical machine learning for structural bioinformatics. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.83-84. Leeds, Leeds University Press.

Gupta, M., and Ibrahim, J.G. (2009). Estimation and variable selection in high dimensional regression models with Information Matrix priors. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.85-86. Leeds, Leeds University Press.

Granqvist, E., Hazledine, S., Wysham, D., Oldroyd, G.E.D., and Morris, R.J. (2009). The Kullback-Leibler divergence between attractor reconstructions: a new means of distinguishing noisy biological time series. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.88-92. Leeds, Leeds University Press.

Gilks, W. (2009). A statistical base-calling methodology for the Illumina high-throughput DNA sequencing platform. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.94. Leeds, Leeds University Press.

Aykroyd, R.G., Barber, S., Northing,P., Murray, A., and Peck, S.J. (2009). A multiscale method for spatial imputation applied to environmental data. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.98-100. Leeds, Leeds University Press.

Dai, W., Graham, T.J., Zeller, C., Paul, J., and Brown, R. (2009). Implementation of methylation linear discriminant analysis (MLDA) on CpG Island microarray data of ovarian cancer. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.101. Leeds, Leeds University Press.

Hill, B., Thinnes, E., and Kendall, W. (2009). A tensor-based analysis of orientations in point patterns using the log-Euclidean metric. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.102-106. Leeds, Leeds University Press.

Leggett, R.M., Grandison, S., Morris, R.M., Kelemen, G., and Moulton, V. (2009). Statistical analysis of the growth and morphology of the filamentous microbe Streptomyces coelicolor. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.107-110. Leeds, Leeds University Press.

Mardia, K.V., Nyirongo, V.B., Fallaize, C.J., Barber, S., and Jackson, R.M. (2009). Hierarchical Bayesian modelling of pharmacophores. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.111-112. Leeds, Leeds University Press.

Mosamam, A.M., Bonifer, C., and Westhead, D. (2009). Exploratory analysis of next generation sequencing data. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.113. Leeds, Leeds University Press.

Polsen, O., and Taylor, C.C. (2009). Plug-in smoothing parameters in nonparametric regression. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.114. Leeds, Leeds University Press.

Shuweihdi, F., and Taylor, C.C. (2009). Classification of shapes using transformed landmarks or interior angles. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.115. Leeds, Leeds University Press.

Simoes, C., Mukherjee, T., Brito, R.M.M., and Jackson, R.M. (2009). Transthyretin amyloid as a model target for the modulation of protein-protein interactions: combining the reach of structure- and ligand-based virtual screening methods. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.116-117. Leeds, Leeds University Press.

Whitaker, J.W., McConkey, G.A., and Westhead, D.R. (2009). metaTIGER: a metabolic evolution resource and its application to horizontal gene transfer. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.118. Leeds, Leeds University Press.

Zhang, Z., Mardia, K.V., Taylor, C.C., Kent, J.T., and Hamelryck, T. (2009). New directional statistics for patterns in protein and RNA structure. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.119. Leeds, Leeds University Press.

Zhou, D., Dryden, I.L., Koloydenko, A., and Bai, L. (2009). Weighted generalised Procrustes analysis of diffusion tensors. In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds), Statistical Tools for Challenges in Bioinformatics, pp.120-123. Leeds, Leeds University Press.


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