Graham R. Ball
Orcid: 0000-0001-5828-7129
According to our database1,
Graham R. Ball
authored at least 17 papers
between 2002 and 2021.
Collaborative distances:
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Bibliography
2021
Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends.
AII, 2021
2014
Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis.
Artif. Intell. Medicine, 2014
Exploration of ovarian cancer micro array data focus on gene expression patterns relevant to survival using artificial neural networks.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
A systems biology approach to identify proliferative biomarkers and pathways in breast cancer.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Artif. Intell. Medicine, 2013
Pattern recognition of multidimensional PBMC flow cytometry histograms for prostate cancer identification.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
2012
MS-labeller: Bioinformatics support for quality assessment on high resolution mass spectrometry sample.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
Modeling estrogen receptor pathways in breast cancer using an Artificial Neural Networks based inference approach.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
Estrogen receptor status prediction for breast cancer using artificial neural network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
2010
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.
Comput. Biol. Medicine, 2010
2009
An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studies.
Briefings Bioinform., 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
2008
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, 2008
2005
Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis.
Bioinform., 2005
Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
2002
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers.
Bioinform., 2002