A fuzzy model for gene expression profiles reducing based on the complex use of statistical criteria and shannon entropy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F18%3A43893723" target="_blank" >RIV/44555601:13440/18:43893723 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-91008-6_55" target="_blank" >http://dx.doi.org/10.1007/978-3-319-91008-6_55</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91008-6_55" target="_blank" >10.1007/978-3-319-91008-6_55</a>
Alternative languages
Result language
angličtina
Original language name
A fuzzy model for gene expression profiles reducing based on the complex use of statistical criteria and shannon entropy
Original language description
The paper presents the technology of gene expression profiles reducing based on the complex use of fuzzy logic methods, statistical criteria and Shannon entropy. Simulation of the reducing process has been performed with the use of gene expression profiles of lung cancer patients. The variance and the average absolute value were changed within the defined range from the minimum to the maximum value, and Shannon entropy from the maximum to the minimum value during the simulation process. 311 gene expression profiles from 7129 were removed as non-informativity during simulation process. The structural block diagram of the step-by-step data processing in order to remove non-informativity gene expression profiles has been proposed as the simulation results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-3-319-91007-9
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
10
Pages from-to
545-554
Publisher name
Springer Internetional Publishing AG
Place of publication
Warsaw
Event location
Kiev, Ukraine
Event date
Jan 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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