Title | ||
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A hierarchical refinement algorithm for fully automatic gridding in spotted DNA microarray image processing |
Abstract | ||
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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 Wang | 1 | 36 | 3.38 |
Marc Q. Ma | 2 | 12 | 1.03 |
Kai Zhang | 3 | 12 | 0.69 |
Frank Y. Shih | 4 | 1103 | 89.56 |