Error rate analysis of broadband binary FM in an indoor channel. - David Wedge (PIMRC, 1997)

A Global-Local Artificial Neural Network with Application to Wave Overtopping Prediction. - David Wedge; David M. Ingram; David McLean 001; Clive G. Mingham; Zuhair Bandar (ICANN (2), 2005)

On global-local artificial neural networks for function approximation. - David Wedge; David M. Ingram; David McLean 001; Clive G. Mingham; Zuhair Bandar (IEEE Trans. Neural Networks, 2006)

Peptide detectability following ESI mass spectrometry: prediction using genetic programming. - David C. Wedge; Simon J. Gaskell; Simon J. Hubbard; Douglas B. Kell; King Wai Lau; Claire Eyers (GECCO, 2007)

Rapid prediction of optimum population size in genetic programming using a novel genotype -: fitness correlation. - David C. Wedge; Douglas B. Kell (GECCO, 2008)

pKa Prediction from "Quantum Chemical Topology" Descriptors. - Alex P. Harding; David C. Wedge; Paul L. A. Popelier (J. Chem. Inf. Model., 2009)

Predictive models for population performance on real biological fitness landscapes. - William Rowe; David C. Wedge; Mark Platt; Douglas B. Kell; Joshua D. Knowles (Bioinform., 2010)

Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets. - Marie Brown; David C. Wedge; Royston Goodacre; Douglas B. Kell; Philip N. Baker; Louise C. Kenny; Mamas A. Mamas; Ludwig Neyses; Warwick B. Dunn (Bioinform., 2012)

Fast randomization of large genomic datasets while preserving alteration counts. - Andrea Gobbi; Francesco Iorio; Kevin J. Dawson; David C. Wedge; David Tamborero; Ludmil B. Alexandrov; Núria López-Bigas; Mathew Garnett; Giuseppe Jurman; Julio Saez-Rodriguez (Bioinform., 2014)

Reference bias in the Illumina Isaac aligner. - Alex J. Cornish; Daniel Chubb; Anna Frangou; Phuc H. Hoang; Martin Kaiser; David C. Wedge; Richard S. Houlston (Bioinform., 2020)

The evolutionary history of 2,658 cancers. - Moritz Gerstung; Clemency Jolly; Ignaty Leshchiner; Stefan C. Dentro; Santiago Gonzalez; Thomas J. Mitchell; Yulia Rubanova; Pavana Anur; Kaixian Yu; Maxime Tarabichi; Amit G. Deshwar; Jeff Wintersinger; et al. (Nat., 2020)

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. - Natalia Garcia Martin; Stefano Malacrino; Marta Wojciechowska; Leticia Campo; Helen Jones; David C. Wedge; Chris Holmes; Korsuk Sirinukunwattana; Heba Sailem; Clare Verrill; Jens Rittscher (EMBC, 2022)