DocumentCode :
2488069
Title :
Microarray image analysis based on an evolutionary approach
Author :
Zacharia, Eleni ; Maroulis, Dimitirs
Author_Institution :
Dept. Of Inf. & Telecommun., Univ. of Athens, Athens
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Biological conclusions reached during microarray experiments can be greatly affected by human intervention, which is currently required in microarray image analysis. Therefore, accurate and automatic analysis of cDNA microarray images becomes crucial. In this paper, an automatic approach to microarray image analysis is presented. The proposed approach is based on the concept of evolution in order to process the microarray images. Conducted experiments in a set of real microarray images confirm the effectiveness of the proposed approach.
Keywords :
biology computing; image processing; biological conclusions; cDNA microarray images; evolutionary approach; microarray image analysis; Degradation; Digital images; Evolution (biology); Humans; Image analysis; Image segmentation; Informatics; Noise shaping; Shape; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761749
Filename :
4761749
Link To Document :
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