Microarrays denoising via smoothing of coefficients in wavelet domain
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.
Cite
@article{arxiv.1807.11571,
title = {Microarrays denoising via smoothing of coefficients in wavelet domain},
author = {Mario Mastriani and Alberto. E. Giraldez},
journal= {arXiv preprint arXiv:1807.11571},
year = {2018}
}
Comments
8 pages, 4 figures, 2 tables. arXiv admin note: text overlap with arXiv:1611.02302, arXiv:1607.03105; text overlap with arXiv:1212.0291 by other authors