Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data
(2012)
Journal Article
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.