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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, pro...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761544/ https://www.ncbi.nlm.nih.gov/pubmed/19851466 http://dx.doi.org/10.1371/journal.pone.0007431 |