Microarrays denoising via smoothing of coefficients in wavelet domain

Mario Mastriani; Alberto. E. Giraldez

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arXiv · 1807.11571

Microarrays denoising via smoothing of coefficients in wavelet domain

Mario Mastriani·Alberto. E. Giraldez

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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.

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BibTeX RIS

Mario Mastriani, Alberto. E. Giraldez. 2018-07-10. Microarrays denoising via smoothing of coefficients in wavelet domain. https://arxiv.org/abs/1807.11571

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