Simon Rogers' profile

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Research in computational biology, particularly statistical and machine learning techniques in the modeling of regulatory interactions/networks. Also general interest in machine learning algorithms, particularly non-parametric approaches to classification.

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Publications

  • Carrivick L, Rogers S, Clark J, Campbell C, Girolami M, Cooper C. Identification of prognostic signatures in breast cancer microarray data using Bayesian techniques. Journal of the Royal Society, Interface / the Royal Society 3 (8) , 367-81 PubMed ID:(16849266)

  • Lu Y, Williamson D, Wang R, Summersgill B, Rodriguez S, Rogers S, Pritchard-Jones K, Campbell C, Shipley J. Expression profiling targeting chromosomes for tumor classification and prediction of clinical behavior. Genes, chromosomes & cancer 38 (3) , 207-14 PubMed ID:(14506694)

  • Mukherjee S, Tamayo P, Rogers S, Rifkin R, Engle A, Campbell C, Golub T, Mesirov J. Estimating dataset size requirements for classifying DNA microarray data. Journal of computational biology : a journal of computational molecular cell biology 10 (2) , 119-42 PubMed ID:(12804087)

  • Rogers S. A Bayesian regression approach to the inference of regulatory networks from gene expression data Bioinformatics 21 (14) , 3131 - 313 (Epub 26 Apr 2005) doi: 10.1093/bioinformatics/bti487

  • Rogers S, Girolami M, Campbell C, Breitling R. The latent process decomposition of cDNA microarray data sets. IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM 2 (2) , 143-56 PubMed ID:(17044179)

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