%0 Journal Article %A Mario Mastriani and Alberto E. Giraldez %D 2007 %J International Journal of Electronics and Communication Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 2, 2007 %T Microarrays Denoising via Smoothing of Coefficients in Wavelet Domain %U https://publications.waset.org/pdf/9224 %V 2 %X We describe a novel method for removing noise (in wavelet domain) of unknown variance from microarrays. The method is based on a smoothing of the coefficients of the highest subbands. Specifically, we decompose the noisy microarray into wavelet subbands, apply smoothing within each highest subband, and reconstruct a microarray from the modified wavelet coefficients. This process is applied a single time, and exclusively to the first level of decomposition, i.e., in most of the cases, it is not necessary a multirresoltuion analysis. Denoising results compare favorably to the most of methods in use at the moment. %P 386 - 393