Publications (Computational Statistics and Machine Learning) Publications Valdar, W. et al. (2012) “Reprioritizing Genetic Associations in Hit Regions Using LASSO‐Based Resample Model Averaging”, Genetic Epidemiology, 36(5), pp. 451–462. Knight, S. et al. (2012) “Quantification of subclonal distributions of recurrent genomic aberrations in paired pre-treatment and relapse samples from patients with B-cell chronic lymphocytic leukemia”, Leukemia, 26(7), pp. 1564–1575. Zhai, Z. et al. (2012) “Normal and Compound Poisson Approximations for Pattern Occurrences in NGS Reads”, Journal of Computational Biology, 19(6), pp. 839–854. Rito, T., Deane, C. and Reinert, G. (2012) “The Importance of Age and High Degree, in Protein-Protein Interaction Networks”, Journal of Computational Biology, 19(6), pp. 785–795. Caron, F., Doucet, A. and Gottardo, R. (2012) “On-line changepoint detection and parameter estimation with application to genomic data”, Statistics and Computing, 22(2), pp. 579–595. Lin, K. and Reinert, G. (2012) “Joint Vertex Degrees in the Inhomogeneous Random Graph Model ℊ(n,{pij })”, Advances in Applied Probability, 44(1), pp. 139–165. Chittenden, T. et al. (2012) “nEASE: a method for gene ontology subclassification of high-throughput gene expression data”, Bioinformatics, 28(5), pp. 726–728. Lin, K. and Reinert, G. (2012) “Joint Vertex Degrees in the Inhomogeneous Random Graph Model ℊ(n,{pij})”, Advances in Applied Probability, 44(1), pp. 139–165. Caron, F., Bornn, L. and Doucet, A. (2012) Sparsity-Promoting Bayesian Dynamic Linear Models. Caron, F., Bornn, L. and Doucet, A. (2012) “Sparsity-Promoting Bayesian Dynamic Linear Models”, arXiv. Pagination First page First Previous page ‹ … Page 67 Page 68 Page 69 Page 70 Page 71 Page 72 Page 73 Page 74 Page 75 … Next page › Last page Last