Module-based outcome prediction using breast cancer compendia.
BACKGROUND: The availability of large collections of microarray datasets (compendia), or knowledge about grouping of genes into pathways (gene sets), is typically not exploited when training predictors of disease outcome. These can be useful since a compendium increases the number of samples, while...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2007-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2002511?pdf=render |