Graham R. Ball

发表

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients

Paulo J. G. Lisboa, Jonathan M. Garibaldi, Elia Biganzoli, 2010, Comput. Biol. Medicine.

Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling

Christophe Lemetre, Graham R. Ball, Robert C. Rees, 2009, IWANN.

A systems biology approach to identify proliferative biomarkers and pathways in breast cancer

Graham R. Ball, Robert C. Rees, Devika Agarwal, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

MS-labeller: Bioinformatics support for quality assessment on high resolution mass spectrometry sample

Graham R. Ball, Dong-Ling Tong, Clare Coveney, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis

Graham R. Ball, H. Shah, Lee Lancashire, 2005, Bioinform..

A quantifier-based fuzzy classification system for breast cancer patients

Jonathan M. Garibaldi, Daniele Soria, Christophe Lemetre, 2013, Artif. Intell. Medicine.

Estrogen receptor status prediction for breast cancer using artificial neural network

Graham R. Ball, Dong-Ling Tong, Gopal K. Dhondalay, 2011, 2011 International Conference on Machine Learning and Cybernetics.

Pattern recognition of multidimensional PBMC flow cytometry histograms for prostate cancer identification

Graham R. Ball, Dong-Ling Tong, 2013, IWBBIO.

Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis

Graham R. Ball, Stephen Ward, Gopal K. Dhondalay, 2014, Artif. Intell. Medicine.

Exploration of ovarian cancer micro array data focus on gene expression patterns relevant to survival using artificial neural networks

Graham R. Ball, Robert C. Rees, Dong-Ling Tong, 2014, IWBBIO.

Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach

Graham R. Ball, Robert C. Rees, Lee Lancashire, 2008, Artif. Intell. Medicine.

Exploration of leukemia gene regulatory networks using a systems biology approach

Graham R. Ball, Dong-Ling Tong, G. Ball, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Modeling estrogen receptor pathways in breast cancer using an Artificial Neural Networks based inference approach

Christophe Lemetre, Graham R. Ball, Gopal K. Dhondalay, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma

Dirk Schadendorf, Graham R. Ball, Robert C. Rees, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

An introduction to artificial neural networks in bioinformatics - application to complex microarray and mass spectrometry datasets in cancer studies

Christophe Lemetre, Graham R. Ball, Lee Lancashire, 2008, Briefings Bioinform..

An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers

G. Li, Graham R. Ball, Ian O. Ellis, 2002, Bioinform..