|
[1] A. D. Baxevanis and B. F. F. Ouellette, Bioinformatics: a practical guide to the analysis of genes and proteins, John Wiley & Sons Inc, 1998. [2] S. L. Salzberg, D. B. Searls and S, Kasif (Eds.), Computational Methods in Molecular Biology, Elsevier, 1999. [3] P. O. Brown and D. Botstein, “Exploring the new world of the genome with DNA microarrays,” Nature Genetics Supplement, Volume 21, Page(s): 33-37, 1999. [4] I. Wickelgren, “DNA chips,” Physician’s Weekly, Volume XIV, No. 43, 1997. [5] D. E. B. Jr, M. B. Eisen, and M. S. Boguski, “Gene expression informatics — it’s all in your mine,” Nature Genetics Supplement, Volume 21, Page(s): 51-55, 1999. [6] M.Eisen, ScanAlyze, [Online] Available : http://rana.lbl.gov/EisenSoftware.html. [7] Axon Instruments, Inc. GenePix Pro, [Online] Avaliable : http://www.axon.con/GN_Genomics.html. [8] Scanalytics, Inc. Microarray Suite, [Online] Available : http://www.scanalytics.com/product/hts/microarray.html. [9] H. J. Noordmans, “Detection and characterization of isolated and overlapping spots,” Computer Vision and Image Understanding, Volume 70, Page(s): 23-35, 1998. [10] N. Brandle, H. Y. Chen, H. Bischof and H. Lapp, “Robust parametric and semi-parametric spot fitting for spot array images,” International Conference on Intelligent Systems for Molecular Biology, Page(s): 20-23, 2000. [11] Y. Chen, E. R. Dougherty and M. L. Bittner, “Ratio-based decisions and the quantitative analysis of cDNA microarray images,” Journal of Biomedical Optics, Volume 2, Page(s): 364-374, 1997. [12] M. A. Newton, C. M. Kendzioreki, C. S. Richmond, F. R. Blattner and K. W. Tsui, “On differential variability of expression ratios: Improving statistical inference about gene expression changes from mocroarray data,” Journal of Computational Biology, Volume 8, Page(s): 37-52, 2001. [13] C. Kooperberg, T. G. Fazzio, J. J. Delrow and T. Tsukiyama, “Improved background correction for spotted DNA microarrays,” Journal of Computational Biology, Volume 9, Page(s): 55-66, 2002. [14] Y. X. Zhou, P. Kalocsai, J. Y. Chen and S. Shams, “Information processing issues and solutions associated with microarray technology,” Microarray Biochip Technology, Page(s): 167-200, 2000. [15] T. Srinark and C. Kambhamettu, “A framework for multiple snakes,” IEEE Conference on Computer Vision and Pattern Recognition, Volume 2, Page(s): 202-209, 2001. [16] C. H. Chuang and W. N. Lie, “Automatic snake contours for the segmentation of multiple objects,” IEEE International Symposium on Circuits and Systems, Volume 2, Page(s): 389-392, 2001. [17] R. Hirata Jr, R. F. Hashimoto and D. O. Dantas, “Microarray gridding by mathematical morphology,” International Symposium on Computer Graphics, Page(s): 112-119, 2001. [18] A. W. C. Liew, H. Yan and M. Yang, “Robust adaptive segmentation of DNA microarray images”, Pattern Recognition, Volume 36, Page(s): 1251-1254, 2003. [19] R. C. Gonzalez and R. E. Woods, Digital image processing. 2nd ed., Prentice Hall, New Jersey, 2002. [20] M. Kass, A. Witkin and D. Terzopoulos, “Snakes: active contour models,” International Journal of Computer Vision, Volume 1, Page(s): 321-331, 1987. [21] S. Mallat and S. Zhong, “Characterization of signals from multiscale edges,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 14, Page(s): 710-732, 1992. [22] L. Cohen and I. Cohen, “Finite-element methods for active contour models and balloons for 2D and 3D images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 15, Page(s): 1131-1147, 1993. [23] V. Cassells, R. Kimmel and G. Sapiro, “Geodesic active contours,” International Journal of Computer Vision, Volume1, Page(s): 61-79, 1997. [24] R. Malladi, J. A. Sethian and B. C. Vemuri, “Evolutionary fronts for topology-independent shape Modeling and recovery,” European Conference on Computer Vision, Volume 1, Page(s): 3-13, 1994. [25] D. Cohen, “On active contour models and balloons,” in Computer Vision, Graphics, and Image Processing: Image Understanding, Volume 53, Page(s): 211-218, 1991. [26] M. A. Sid-Ahmed, Image processing, theory, algorithms and architectures, McGRAW-Hill, New York, 1995. [27] Stanford University. Stanford Microarray Database. http://genome-www5.stanford.edu/. Stanford University, 2001. [28] L. Bullinger, K. Döhner, E. Bair, S. Fröhling, R. F. Schlenk, R. Tibshirani, H. Döhner and J. R. Pollack, “Use of Gene-Expression Profiling to Identify Prognostic Subclasses in Adult Acute Myeloid Leukemia,” The New England Journal of Medicine, Volume 350, Page(s): 1605-1616, 2004. [29] J. Y. Kwon, M. HongM, M. S. Choi, S. Kang, K. Duke, S. Kim, S. Lee and J. Lee, “Ethanol-response genes and their regulation analyzed by a microarray and comparative genomic approach in the nematode Caenorhabditis elegans,” International Conference on Structural Genomics, Volume 83, Page(s): 600-614, 2004.
|