Microarray image gridding via an evolutionary algorithm

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 1444-1447

  Zacharia, Eleni ^a   Maroulis, Dimitris ^a  

^a UNIVERSITY OF ATHENS   (Greece)

Author keywords

Gridding; Image; Microarrays

Indexed keywords

CDNA MICROARRAYS; EXISTING METHOD; GRID STRUCTURES; GRIDDING; HUMAN INTERVENTION; IMAGE; LINE-SEGMENTS; MICROARRAY IMAGES;

EVOLUTIONARY ALGORITHMS; GENE EXPRESSION; IMAGE PROCESSING; IMAGING SYSTEMS; PARALLEL ALGORITHMS;

MICROARRAYS;

EID: 69949130256     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712037     Document Type: Conference Paper

References (15)

1. Y. H. Yang, M. J. Buckley, S. Duboit, and T. P. Speed, "Comparison of methods for image analysis on cDNA microarray data," J. Computat. Graph. Statist., vol. 11, pp. 108-136, 2002.
2. W. B. Chen, C. Zhang, and W. L. Liu, "An Automated Gridding and Segmentation Method for cDNA Microarray Image Analysis," in Proc. 19th IEEE Symp. Computer-Based Medical Systems, Salt Lake City, 2006, pp. 893-898.
3. Y. Tu, G. Stolovitzky, and U. Klein, "Quantitative noise analysis for gene expression microarray experiments," in Proc. National Academy of sciences, USA, 2002, pp. 14031-14036.
4. M. B. Eisen. (1999). ScanAlyze. [Online]. Available: http://rana.lbl.gov/ EisenSoftware.htm
5. Biodiscovery Inc. (2005). ImaGene. [Online]. Available: http://www.biodiscovery.com/imagene.asp
6. J. Angulo and J. Serra, "Automatic analysis of DNA microarray images using mathematical morphology," Bioinformatics, vol. 19, no. 5, pp. 553-562, 2003.
7. O. Demirkaya, M. H. Asyali, and M. M. Shoukri, "Segmentation of cDNA microarray spots using Markov random
8. N. D. Lawrence, M. Milo, M. Niranjan, P. Rashbass, and S. Soullier, "Reducing the variability in cDNA microarray image processing by Bayesian inference," Bioinformatics, vol. 20, no. 4, pp. 518-526, Mar. 2004.
9. J. Ho, W. L. Hwang, H. H. S. Lu, D. T. Lee, "Gridding Spot Centers of smoothly distorted microarray images," IEEE Trans. Image Processing, vol. 15, no. 2, pp. 342-353, Feb. 2006.
10. E. Zacharia, D. Maroulis, "An original Genetic Approach to the Fully-Automatic Gridding of Microarray Images," IEEE Trans, on Medical Imaging, vol. 27, no. 6, pp. 805-813, Jun. 2008.
11. F. Herrera, M. Lozano, and A. M. Sanchez, "Hybrid crossover operators for real-coded genetic algorithms: An experimental study," Soft Computing, vol. 9, no. 4, pp. 280-298, Apr. 2005.
12. S. H. Ling, and F. H. F. Leung, "An improved genetic algorithm with average-bound crossover and wavelet mutation operations," Soft Computing, vol. 11, no. 1, pp. 7-31, 2007.
13. C. T. Ekstrom, S. Bak, C. Kristensen and M. Rudemo, "Spot shape modelling and data transformations for microarrays," Bioinformatics, vol. 20, no. 14, pp. 2270-2278, Sep. 2004.
14. M. T. Miller, A. K. Jerebko, J. D. Malley, and R. M. Summers, "Feature selection for computer-aided polyp detection using genetic algorithms," in Proc. of SPIE, Santa Clara, 2003, pp. 102-110.
15. C. Z. Janikow, Z. Michalewicz, "An experimental comparison of binary and floating point representations in genetic algorithms," in Proc. 4th Int. Conf. Genetic Algorithms, San Diego, 1991, pp. 31-6.