Title
A hierarchical refinement algorithm for fully automatic gridding in spotted DNA microarray image processing
Abstract
Gridding, the first step in spotted DNA microarray image processing, usually requires human intervention to achieve acceptable accuracy. We present a new algorithm for automatic gridding based on hierarchical refinement to improve the efficiency, robustness and reproducibility of microarray data analysis. This algorithm employs morphological reconstruction along with global and local rotation detection, non-parametric optimal thresholding and local fine-tuning without any human intervention. Using synthetic data and real microarray images of different sizes and with different degrees of rotation of subarrays, we demonstrate that this algorithm can detect and compensate for alignment and rotation problems to obtain reliable and robust results.
Year
DOI
Venue
2007
10.1016/j.ins.2006.07.004
Inf. Sci.
Keywords
Field
DocType
hierarchical refinement algorithm,local rotation detection,rotation problem,different degree,spotted dna microarray image,new algorithm,automatic gridding,human intervention,local fine-tuning,real microarray image,microarray data analysis,different size,synthetic data,dna microarray,image processing,gene expression
Pattern recognition,Computer science,Algorithm,Image processing,Robustness (computer science),Synthetic data,Artificial intelligence,Thresholding,DNA microarray
Journal
Volume
Issue
ISSN
177
4
0020-0255
Citations 
PageRank 
References 
12
0.69
12
Authors
4
Name
Order
Citations
PageRank
Yu Wang1363.38
Marc Q. Ma2121.03
Kai Zhang3120.69
Frank Y. Shih4110389.56