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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2002511/ https://www.ncbi.nlm.nih.gov/pubmed/17940611 http://dx.doi.org/10.1371/journal.pone.0001047 |