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

被引：0
|
作者：
Carsten Henneges
Dino Bullinger
Richard Fux
Natascha Friese
Harald Seeger
Hans Neubauer
Stefan Laufer
Christoph H Gleiter
Matthias Schwab
Andreas Zell
Bernd Kammerer
机构：
[1] Center for Bioinformatics Tübingen (ZBIT),University Hospital Tübingen
[2] Institute of Pharmacology and Toxicology,University Hospital Tübingen
[3] Department of Clinical Pharmacology,undefined
[4] Universitäts-Frauenklinik,undefined
[5] Institute of Pharmacy,undefined
[6] Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology,undefined
来源：
BMC Cancer | / 9卷
关键词：
Support Vector Machine; Feature Selection; Linear Discriminant Analysis; Matthews Correlation Coefficient; Feature Combination;
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摘要：
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