Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection

BACKGROUND: Breast cancer belongs to the most frequent and severe cancer types in human. Since excretion of modified nucleosides from increased RNA metabolism has been proposed as a potential target in pathogenesis of breast cancer, the aim of the present study was to elucidate the predictability of...

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Detalles Bibliográficos
Autores principales: Henneges, Carsten, Bullinger, Dino, Fux, Richard, Friese, Natascha, Seeger, Harald, Neubauer, Hans, Laufer, Stefan, Gleiter, Christoph H, Schwab, Matthias, Zell, Andreas, Kammerer, Bernd
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2680413/
https://www.ncbi.nlm.nih.gov/pubmed/19344524
http://dx.doi.org/10.1186/1471-2407-9-104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2680413/
https://www.ncbi.nlm.nih.gov/pubmed/19344524
http://dx.doi.org/10.1186/1471-2407-9-104

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