Microarrays denoising via smoothing of coefficients in wavelet domain

التفاصيل البيبلوغرافية
العنوان: Microarrays denoising via smoothing of coefficients in wavelet domain
المؤلفون: Mastriani, Mario, Giraldez, Alberto. E.
سنة النشر: 2018
مصطلحات موضوعية: Electrical Engineering and Systems Science - Signal Processing
الوصف: 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.
Comment: 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
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/1807.11571
رقم الأكسشن: edsarx.1807.11571
قاعدة البيانات: arXiv