@article{(Open Science Index):https://publications.waset.org/pdf/9224,
	  title     = { Microarrays Denoising via Smoothing of Coefficients in Wavelet Domain },
	  author    = {Mario Mastriani and  Alberto E. Giraldez},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {1},
	  number    = {2},
	  year      = {2007},
	  pages     = {386 - 393},
	  ee        = {https://publications.waset.org/pdf/9224},
	  url   	= {https://publications.waset.org/vol/2},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 2, 2007},
	}