2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007) Microarray Image Denoising Using a Two-Stage Multiresolution Technique Fremont, California November 02-November 04 ISBN: 0-7695-3031-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIBM.2007.32
DNA microarrays have demonstrated an excellent poten- tial in correlating specific gene expression profiles to spe- cific conditions. However, they are affected by inherent noise. This paper presents a two-stage approach for noise removal that processes the additive and the multiplicative noise component. The proposed approach first decomposes the signal by a multiresolution transform and then accounts for both the multiscale correlation of the subband decom- positions and their heavy-tailed statistics. Real microarray images have been processed by the proposed method and its improved performance is shown through quantitative mea- sures and qualitative visual evaluation.
Citation:
Hara Stefanou, Thanasis Margaritis, Dimitris Kafetzopoulos, Konstantinos Marias, Panagiotis Tsakalides, "Microarray Image Denoising Using a Two-Stage Multiresolution Technique," bibm, pp.383-389, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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