DocumentCode :
3177860
Title :
Correlation-based cluster-space transform for major adverse cardiac event prediction
Author :
Xiao, Yi ; Pham, Tuan D. ; Jia, Xiuping ; Zhou, Xiaobo ; Hong Yan
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
2003
Lastpage :
2007
Abstract :
This paper investigates the affect of variation of patterns in protein profiles to the identification of disease-specific biomarkers. A correlation-based cluster-space transform is applied to mass spectral data for predicting major adverse cardiac events (MACE). Training and testing data are transformed into cluster spaces by correlation distance based clustering, respectively. Data in the testing cluster that falls into a pair of training clusters is classified by a supervised classifier. Experiment results have shown that proteomic spectra of MACE which vary with certain patterns could be separated by the correlation-based clustering. The cluster-space transform allows better classification accuracy than single-clustered class method for separating disease and healthy samples.
Keywords :
biology computing; cardiology; proteins; MACE; correlation distance based clustering; correlation-based cluster-space transform; disease-specific biomarker; major adverse cardiac event prediction; mass spectral data; protein profile; proteomic spectra; Bioinformatics; Computers; Gallium; classification; clustering; major adverse cardiac events; mass spectrometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641728
Filename :
5641728
Link To Document :
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