Can survival prediction be improved by merging gene expression data sets?
BACKGROUND:High-throughput gene expression profiling technologies generating a wealth of data, are increasingly used for characterization of tumor biopsies for clinical trials. By applying machine learning algorithms to such clinically documented data sets, one hopes to improve tumor diagnosis, prog...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2009-10-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2761544?pdf=render |