Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/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 Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {1},
  number    = {2},
  year      = {2007},
  pages     = {386 - 393},
  ee        = {http://waset.org/publications/9224},
  url       = {http://waset.org/Publications?p=2},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 2, 2007},
}