A fuzzy model for gene expression profiles reducing based on the complex use of statistical criteria and shannon entropy

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A fuzzy model for gene expression profiles reducing based on the complex use of statistical criteria and shannon entropy

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A fuzzy model for gene expression profiles reducing based on the complex use of statistical criteria and shannon entropy

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing

ISBN

978-3-319-91007-9

ISSN

2194-5357

e-ISSN

2194-5365

Počet stran výsledku

10

Strana od-do

545-554

Název nakladatele

Springer Internetional Publishing AG

Místo vydání

Warsaw

Místo konání akce

Kiev, Ukraine

Datum konání akce

18. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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