تقرير
Microarrays denoising via smoothing of coefficients in wavelet domain
العنوان: | Microarrays denoising via smoothing of coefficients in wavelet domain |
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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 |
الوصف غير متاح. |