Learning pathway-based decision rules to classify microarray cancer samples
Glaab, Enrico and Garibaldi, Jonathan M. and Krasnogor, Natalio (2010) Learning pathway-based decision rules to classify microarray cancer samples. In: 25th German Conference on Bioinformatics 2010, 20-22 Sept 2010, Braunschweig, Germany.
Official URL: http://www.gi.de/service/publikationen/lni/gi-edition-proceedings-2010/gi-edition-lecture-notes-in-informatics-lni-p-173.html
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 using new integrative analysis methods could help to alleviate some of these problems and provide new biological insights.
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