Graham R. Ball

17 papers C 1Misc 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2021 — conf
Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends.
AII
Abeer Alzubaidi, Jaspreet Kaur, Mufti Mahmud, David J. Brown, Jun He, Graham R. Ball, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
2014 — conf
A systems biology approach to identify proliferative biomarkers and pathways in breast cancer.
BIBM
Devika Agarwal, Marie Kergosien, David J. Boocock, Robert C. Rees, Graham R. Ball
2014 — conf
Exploration of leukemia gene regulatory networks using a systems biology approach.
BIBM
Dong-Ling Tong, Graham R. Ball
2014 — conf
Exploration of ovarian cancer micro array data focus on gene expression patterns relevant to survival using artificial neural networks.
IWBBIO
Clare Coveney, Dong-Ling Tong, David J. Boocock, Robert C. Rees, Graham R. Ball
2014 J jnl
Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis.
Artif. Intell. Medicine
Gopal Krishna Dhondalay, Katherine Lawrence, Stephen Ward, Graham R. Ball, Michael Hoare
2013 J jnl
A quantifier-based fuzzy classification system for breast cancer patients.
Artif. Intell. Medicine
Daniele Soria, Jonathan M. Garibaldi, Andrew R. Green, Desmond G. Powe, Christopher C. Nolan, Christophe Lemetre, Graham R. Ball, Ian O. Ellis
2013 — conf
Pattern recognition of multidimensional PBMC flow cytometry histograms for prostate cancer identification.
IWBBIO
Dong-Ling Tong, Graham R. Ball
2012 — conf
MS-labeller: Bioinformatics support for quality assessment on high resolution mass spectrometry sample.
BHI
Dong-Ling Tong, Clare Coveney, Graham R. Ball
2012 — conf
Modeling estrogen receptor pathways in breast cancer using an Artificial Neural Networks based inference approach.
BHI
Gopal K. Dhondalay, Christophe Lemetre, Graham R. Ball
2011 Misc conf
Estrogen receptor status prediction for breast cancer using artificial neural network.
ICMLC
Gopal K. Dhondalay, Dong-Ling Tong, Graham R. Ball
2010 J jnl
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.
Comput. Biol. Medicine
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
2009 J jnl
An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studies.
Briefings Bioinform.
Lee Lancashire, Christophe Lemetre, Graham R. Ball
2009 — conf
Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling.
IWANN (1)
Christophe Lemetre, Lee Lancashire, Robert C. Rees, Graham R. Ball
2008 J jnl
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
Lee Lancashire, Robert C. Rees, Graham R. Ball
2005 J jnl
Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis.
Bioinform.
Lee Lancashire, Oliver Schmid, Haroun Shah, Graham R. Ball
2005 C conf
Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma.
CIBCB
Lee Lancashire, Selma Ugurel, Colin Creaser, Dirk Schadendorf, Robert C. Rees, Graham R. Ball
2002 J jnl
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers.
Bioinform.
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