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...

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Detalles Bibliográficos
Autores principales: van Vliet, Martin H., Klijn, Christiaan N., Wessels, Lodewyk F. A., Reinders, Marcel J. T.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Research Article
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

Internet

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

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