DocumentCode
3455840
Title
Automatic Gridding of DNA Microarray Images Based on Heuristic Algorithm
Author
Shao, Guifang ; Zhang, Qian ; Xu, Sanyao ; Luo, Linkai
Author_Institution
Dept. of Autom., Xiamen Univ., Xiamen, China
fYear
2010
fDate
21-23 Oct. 2010
Firstpage
1
Lastpage
5
Abstract
The gridding is an essential task for DNA microarray image analysis which will definitely affect the spot segmentation and intensity extraction. The accuracy and reliability of existing gridding methods depend on the artificial experience value owing to they can not dynamically determine the required processing parameters. In this paper, the gridding problem is turned into an optimizing problem by using the natural feature of the signal points (gene points) which are arranged more regularly in the gene chip image. A new automatically searching method is put forward which based on heuristic algorithm to find the optimal solution for the optimization problem. It requires no human intervention. The outcome has shown that it achieves the auto-positioning effects for gene chip and the algorithm is simple with higher precision, it is also robustness.
Keywords
biocomputing; feature extraction; image segmentation; optimisation; search problems; DNA microarray image analysis; automatic gridding; automatically searching method; gene chip image; intensity extraction; optimization problem; segmentation extraction; DNA; Electronic mail; Estimation; Feature extraction; Gene expression; Heuristic algorithms; Morphology;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-7209-3
Electronic_ISBN
978-1-4244-7210-9
Type
conf
DOI
10.1109/CCPR.2010.5659138
Filename
5659138
Link To Document