All Outputs (2)

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data (2012)
Journal Article
Glaab, E., Bacardit, J., Garibaldi, J. M., & Krasnogor, N. (2012). Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7(7), Article e39932. https://doi.org/10.1371/journal.pone.0039932

Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new... Read More about Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.

Discovering sequential patterns in a UK general practice database (2012)
Presentation / Conference Contribution
Reps, J., Garibaldi, J. M., Aickelin, U., Soria, D., E. Gibson, J. E., & Hubbard, R. B. (2012). Discovering sequential patterns in a UK general practice database.

The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses. These patterns may be able to predict illnesses that a patient is likely to develop, allowin... Read More about Discovering sequential patterns in a UK general practice database.