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 using new integrative analysis methods could help to...
| Main Authors: | Glaab, Enrico, Garibaldi, Jonathan M., Krasnogor, Natalio |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2010
|
| Online Access: | https://eprints.nottingham.ac.uk/1424/ |
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