DocumentCode
1843710
Title
Using a Single Neuron as a Marker Selector - A Breast Cancer Case Study
Author
Blazadonakis, M.E. ; Perperoglou, A. ; Zervakis, M.
Author_Institution
Tech. Univ. of Crete, Chania
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
4219
Lastpage
4222
Abstract
The problem of marker selection in DNA microarray analysis has been mostly addressed by linear methods. RFE-SVM is such a representative method where a linear kernel is used as the basic tool to address the problem. On the other hand a single neuron is known to be a linear estimator. In this study we explore such a single neuron to address the problem of marker selection.
Keywords
DNA; cancer; genetics; support vector machines; DNA microarray analysis; RFE-SVM; breast cancer; marker selector; neuron; Breast cancer; DNA; Helium; Kernel; Monitoring; Neural networks; Neurons; Support vector machine classification; Support vector machines; Testing; Breast Neoplasms; Female; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Humans; Neural Networks (Computer); Neurons; Oligonucleotide Array Sequence Analysis; Tumor Markers, Biological;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4353267
Filename
4353267
Link To Document