Open Science Research Excellence
%0 Journal Article
%A Mario Mastriani and  Alberto E. Giraldez
%D 2007 
%J  International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 2, 2007
%T  Microarrays Denoising via Smoothing of Coefficients in Wavelet Domain 
%U http://waset.org/publications/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