An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. - Graham R. Ball; Shahid Mian; F. Holding; R. O. Allibone; James Lowe; S. Ali; G. Li; S. McCardle; Ian O. Ellis; Colin Creaser; Robert C. Rees (Bioinform., 2002)

Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma. - Lee Lancashire; Selma Ugurel; Colin Creaser; Dirk Schadendorf; Robert C. Rees; Graham R. Ball (CIBCB, 2005)

Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis. - Lee Lancashire; Oliver Schmid; Haroun Shah; Graham R. Ball (Bioinform., 2005)

Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach. - Lee Lancashire; Robert C. Rees; Graham R. Ball (Artif. Intell. Medicine, 2008)

Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling. - Christophe Lemetre; Lee Lancashire; Robert C. Rees; Graham R. Ball (IWANN (1), 2009)

An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studies. - Lee Lancashire; Christophe Lemetre; Graham R. Ball (Briefings Bioinform., 2009)

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Andrew R. Green; Des Powe; Emad A. Rakha; R. Douglas Macmillan; Roger W. Blamey; Graham R. Ball; Paulo J. G. Lisboa; Terence A. Etchells; Patrizia Boracchi; et al. (Comput. Biol. Medicine, 2010)

Estrogen receptor status prediction for breast cancer using artificial neural network. - Gopal K. Dhondalay; Dong-Ling Tong; Graham R. Ball (ICMLC, 2011)

Modeling estrogen receptor pathways in breast cancer using an Artificial Neural Networks based inference approach. - Gopal K. Dhondalay; Christophe Lemetre; Graham R. Ball (BHI, 2012)

MS-labeller: Bioinformatics support for quality assessment on high resolution mass spectrometry sample. - Dong-Ling Tong; Clare Coveney; Graham R. Ball (BHI, 2012)

Pattern recognition of multidimensional PBMC flow cytometry histograms for prostate cancer identification. - Dong-Ling Tong; Graham R. Ball (IWBBIO, 2013)

A quantifier-based fuzzy classification system for breast cancer patients. - Daniele Soria; Jonathan M. Garibaldi; Andrew R. Green; Desmond G. Powe; Christopher C. Nolan; Christophe Lemetre; Graham R. Ball; Ian O. Ellis (Artif. Intell. Medicine, 2013)

A systems biology approach to identify proliferative biomarkers and pathways in breast cancer. - Devika Agarwal; Marie Kergosien; David J. Boocock; Robert C. Rees; Graham R. Ball (BIBM, 2014)

Exploration of leukemia gene regulatory networks using a systems biology approach. - Dong-Ling Tong; Graham R. Ball (BIBM, 2014)

Exploration of ovarian cancer micro array data focus on gene expression patterns relevant to survival using artificial neural networks. - Clare Coveney; Dong-Ling Tong; David J. Boocock; Robert C. Rees; Graham R. Ball (IWBBIO, 2014)

Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis. - Gopal Krishna Dhondalay; Katherine Lawrence; Stephen Ward; Graham R. Ball; Michael Hoare (Artif. Intell. Medicine, 2014)

Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends. - Abeer Alzubaidi; Jaspreet Kaur; Mufti Mahmud; David J. Brown 001; Jun He 004; Graham R. Ball; David R. Baldwin; Emma O'Dowd; Richard B. Hubbard (AII, 2021)