Microarray Image Denoising Using a Two-Stage Multiresolution Technique

DNA microarrays have demonstrated an excellent potential in correlating specific gene expression profiles to specific 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 decompositions and their heavy-tailed statistics. Real microarray images have been processed by the proposed method and its improved performance is shown through quantitative measures and qualitative visual evaluation.

• Type: Conference
• Year: 2007
• Where: BIBM
• Authors: Hara Stefanou, Thanasis Margaritis, Dimitris Kafetzopoulos, Konstantinos Marias, Panagiotis Tsakalides
• Keywords: BIBM 2007, Bioinformatics, Inherent Noise, Multiplicative Noise Component, Specific Gene Expression