DocumentCode :
3629815
Title :
Classification of multiple cancer types in a Hyper Reproducing Kernel Hilbert Space
Author :
Angela Blanco;Manuel Martin-Merino;Javier De Las Rivas
Author_Institution :
Universidad Pontificia de Salamanca (UPSA) C/Compa??a 5, 37002, Salamanca, Spain
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
The classification of multiple cancer types based on the gene expression profiles is a challenging task. support vector machines (SVM) have been applied to this aim but they rely on Euclidean distances that fail to reflect accurately the proximities among sample profiles.
Keywords :
"Cancer","Kernel","Hilbert space","Support vector machines","Support vector machine classification","Gene expression","Humans","Data analysis","Smoothing methods","DNA"
Publisher :
ieee
Conference_Titel :
BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
Print_ISBN :
978-1-4244-2844-1
Type :
conf
DOI :
10.1109/BIBE.2008.4696693
Filename :
4696693
Link To Document :
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