DocumentCode :
3129897
Title :
Ant Colony Optimization for Biomarker Identification from MALDI-TOF Mass Spectra
Author :
Ressom, Habtom W. ; Varghese, Rency S. ; Orvisky, Eduard ; Drake, Steven K. ; Hortin, Glen L. ; Abdel-Hamid, Mohamed ; Loffredo, Christopher A. ; Goldman, Radoslav
Author_Institution :
Lombardi Comprehensive Cancer Center, Georgetown Univ., Washington, DC
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
4560
Lastpage :
4563
Abstract :
We present a novel method that combines ant colony optimization with support vector machines (ACO-SVM) to select candidate biomarkers from MALDI-TOF serum profiles of hepatocellular carcinoma (HCC) patients and matched controls. The method identified relevant mass points that achieve high sensitivity and specificity in distinguishing HCC patients from healthy individuals. The results indicate that the MALDI-TOF technology could provide the means to discover novel biomarkers for HCC
Keywords :
cancer; cellular biophysics; learning (artificial intelligence); liver; medical computing; molecular biophysics; optimisation; support vector machines; time of flight mass spectra; tumours; ACO-SVM; MALDI-TOF mass spectra; ant colony optimization; biomarker identification; hepatocellular carcinoma; serum profile; support vector machines; Ant colony optimization; Biomarkers; Cancer; Cities and towns; Diseases; Laboratories; Medical diagnostic imaging; Particle swarm optimization; Peptides; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260707
Filename :
4462817
Link To Document :
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