Graham R. Ball

Publication Activity (10 Years)

Years Active: 2002-2021
Publications (10 Years): 1

Top Topics

Mass Spectrometry

Gene Expression

Artificial Neural

Top Venues

Artif. Intell. Medicine

Publications

Abeer Alzubaidi, Jaspreet Kaur, Mufti Mahmud, David J. Brown, Jun He, Graham R. Ball, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends. AII (2021)
Clare Coveney, Dong-Ling Tong, David J. Boocock, Robert C. Rees, Graham R. Ball
Exploration of ovarian cancer micro array data focus on gene expression patterns relevant to survival using artificial neural networks. IWBBIO (2014)
Gopal Krishna Dhondalay, Katherine Lawrence, Stephen Ward, Graham R. Ball, Michael Hoare
Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis. Artif. Intell. Medicine 62 (2) (2014)
Devika Agarwal, Marie Kergosien, David J. Boocock, Robert C. Rees, Graham R. Ball
A systems biology approach to identify proliferative biomarkers and pathways in breast cancer. BIBM (2014)
Dong-Ling Tong, Graham R. Ball
Exploration of leukemia gene regulatory networks using a systems biology approach. BIBM (2014)
Daniele Soria, Jonathan M. Garibaldi, Andrew R. Green, Desmond G. Powe, Christopher C. Nolan, Christophe Lemetre, Graham R. Ball, Ian O. Ellis
A quantifier-based fuzzy classification system for breast cancer patients. Artif. Intell. Medicine 58 (3) (2013)
Dong-Ling Tong, Graham R. Ball
Pattern recognition of multidimensional PBMC flow cytometry histograms for prostate cancer identification. IWBBIO (2013)
Gopal K. Dhondalay, Christophe Lemetre, Graham R. Ball
Modeling estrogen receptor pathways in breast cancer using an Artificial Neural Networks based inference approach. BHI (2012)
Dong-Ling Tong, Clare Coveney, Graham R. Ball
MS-labeller: Bioinformatics support for quality assessment on high resolution mass spectrometry sample. BHI (2012)
Gopal K. Dhondalay, Dong-Ling Tong, Graham R. Ball
Estrogen receptor status prediction for breast cancer using artificial neural network. ICMLC (2011)
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, Elia Biganzoli, Ian O. Ellis
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40 (3) (2010)
Christophe Lemetre, Lee Lancashire, Robert C. Rees, Graham R. Ball
Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling. IWANN (1) (2009)
Lee Lancashire, Christophe Lemetre, Graham R. Ball
An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studies. Briefings Bioinform. 10 (3) (2009)
Lee Lancashire, Robert C. Rees, Graham R. Ball
Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach. Artif. Intell. Medicine 43 (2) (2008)
Lee Lancashire, O. Schmid, H. Shah, Graham R. Ball
Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis. Bioinform. 21 (10) (2005)
Lee Lancashire, Selma Ugurel, Colin Creaser, Dirk Schadendorf, Robert C. Rees, Graham R. Ball
Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma. CIBCB (2005)
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
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. Bioinform. 18 (3) (2002)