 | 2011 |
| 8 |  | Gopal K. Dhondalay,
Dong L. Tong,
Graham R. Ball:
Estrogen receptor status prediction for breast cancer using artificial neural network.
ICMLC 2011: 727-731 |
| 2010 |
| 7 |  | Daniele Soria,
Jonathan M. Garibaldi,
Federico Ambrogi,
Andrew R. Green,
Des Powe,
Emad 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.
Comp. in Bio. and Med. 40(3): 318-330 (2010) |
| 2009 |
| 6 |  | Christophe Lemetre,
Lee Lancashire,
Robert C. Rees,
Graham R. Ball:
Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling.
IWANN (1) 2009: 877-885 |
| 5 |  | 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 in Bioinformatics 10(3): 315-329 (2009) |
| 2008 |
| 4 |  | 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.
Artificial Intelligence in Medicine 43(2): 99-111 (2008) |
| 2005 |
| 3 |  | 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: 455-460 |
| 2 |  | 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.
Bioinformatics 21(10): 2191-2199 (2005) |
| 2002 |
| 1 |  | Graham R. Ball,
Shahid Mian,
F. Holding,
R. O. Allibone,
J. 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.
Bioinformatics 18(3): 395-404 (2002) |