Technology of Gene Expression Profiles Filtering Based on Wavelet Analysis | Zendy

Sergii Babichev | Zendy; Jiřı́ Škvor | Zendy; Jiřı́ Fišer | Zendy; Volodymyr Lytvynenko | Zendy

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Technology of Gene Expression Profiles Filtering Based on Wavelet Analysis

Author(s) -

Sergii Babichev,

Jiřı́ Škvor,

Jiřı́ Fišer,

Volodymyr Lytvynenko

Publication year - 2018

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2018.04.01

Subject(s) - wavelet , computer science , wavelet packet decomposition , pattern recognition (psychology) , biorthogonal wavelet , biorthogonal system , thresholding , noise (video) , artificial intelligence , discrete wavelet transform , stationary wavelet transform , wavelet transform , algorithm , image (mathematics)

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 waveletfiltering 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.

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