Technology of gene expression profiles filtering based on wavelet analysis
Автор: Sergii Babichev, Jiří Škvor, Jiří Fišer, Volodymyr Lytvynenko
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 4 vol.10, 2018 года.
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The paper presents the technology of gene expression profiles filtering based on the wavelet analysis methods. A structural block-chart of the wavelet-filtering process, which involves concurrent calculation of Shannon entropy for both the filtered data and allocated noise component is proposed. Simulation of the wavelet-filtering process was performed with the use of orthogonal and biorthogonal wavelets on different levels of wavelet decomposition and with the use of various values of the thresholding coefficient. Result of the simulation has allowed us to propose the technology to determine the optimal parameters of the wavelet filter based on complex analysis of the filtered data and allocated noise component.
Gene expression profiles, Filtering, Wavelet analysis, Shannon entropy, Thresholding
Короткий адрес: https://sciup.org/15016474
IDR: 15016474 | DOI: 10.5815/ijisa.2018.04.01
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