Jiri Fiser

Work place: Jan Evangelista Purkyně University in Ustí nad Labem, Ustí nad Labem, Czech Republic



Research Interests: Data Mining, Data Compression, Data Structures and Algorithms, Analysis of Algorithms, Data Structures


Jiri Fiser graduated (Ph.D.) from University of Economics, Prague in 2003. He is currently working as Assistant professor of Department of Informatics at Jan Evangelista Purkyně University in Ustí nad Labem, Czech Republic and Czech Technical University in Prague. He has been publishing in the area of dependability, event-based simulations, functional aspects of programming languages and data mining of complex data. He actively uses and teaches modern open-source programming languages as Python and Julia.

Author Articles
Technology of Gene Expression Profiles Filtering Based on Wavelet Analysis

By Sergii Babichev Jiri Skvor Jiri Fiser Volodymyr Lytvynenko

DOI: https://doi.org/10.5815/ijisa.2018.04.01, Pub. Date: 8 Apr. 2018

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.

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