Making sense of microarray data distributions. - David C. Hoyle; Magnus Rattray; Ray Jupp; Andy Brass (Bioinform., 2002)

Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA. - David C. Hoyle; Magnus Rattray (NIPS, 2003)

A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra. - David C. Hoyle; Magnus Rattray (COLT, 2004)

Accuracy of String Kernels for Protein Sequence Classification. - J. Dylan Spalding; David C. Hoyle (ICAPR (1), 2005)

Machine learning in bioinformatics: A brief survey and recommendations for practitioners. - Harish Bhaskar; David C. Hoyle; Peng Wang 002 (Comput. Biol. Medicine, 2006)

Shared Genomics: Accessible High Performance Computing for Genomic Medical Research. - Mark Delderfield; Lee Kitching; Gareth Smith; David C. Hoyle; Iain E. Buchan (eScience, 2008)

Shared genomics: A platform for emerging interpretation of genetic epidemiology. - David C. Hoyle; Mark Delderfield; Lee Kitching; Gareth Smith; Peter Crowther; Iain E. Buchan (CBMS, 2009)

Shared Genomics: High Performance Computing for distributed insights in genomic medical research. - David C. Hoyle; Mark Delderfield; Lee Kitching; Gareth Smith; Iain E. Buchan (HealthGrid, 2009)

Accuracy of Pseudo-Inverse Covariance Learning - A Random Matrix Theory Analysis. - David C. Hoyle (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Statistical mechanics of ontology based annotations. - David C. Hoyle; Andrew Brass (CoRR, 2016)