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

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

<p>Abstract</p> <p>Background</p> <p>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 t...

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Bibliographic Details
Main Authors: Schwab Matthias, Gleiter Christoph H, Laufer Stefan, Neubauer Hans, Seeger Harald, Friese Natascha, Fux Richard, Bullinger Dino, Henneges Carsten, Zell Andreas, Kammerer Bernd
Format: Article
Language:English
Published: BMC 2009-04-01
Series:BMC Cancer
Online Access:http://www.biomedcentral.com/1471-2407/9/104

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http://www.biomedcentral.com/1471-2407/9/104

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