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