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All Outputs (3)

Learning pathway-based decision rules to classify microarray cancer samples (2010)
Conference Proceeding
Glaab, E., Garibaldi, J. M., & Krasnogor, N. (2010). Learning pathway-based decision rules to classify microarray cancer samples.

Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninformative genes. Combining microarray data with cellular pathway data by us... Read More about Learning pathway-based decision rules to classify microarray cancer samples.

A novel framework to elucidate core classes in a dataset (2010)
Conference Proceeding
Soria, D., & Garibaldi, J. M. (2010). A novel framework to elucidate core classes in a dataset.

In this paper we present an original framework to extract representative groups from a dataset, and we validate it over a novel case study. The framework specifies the application of different clustering algorithms, then several statistical and visu... Read More about A novel framework to elucidate core classes in a dataset.