Techniques of DNA microarray data pre-processing based on the complex use of bioconductor tools and shannon entropy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F19%3A43894621" target="_blank" >RIV/44555601:13440/19:43894621 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Techniques of DNA microarray data pre-processing based on the complex use of bioconductor tools and shannon entropy
Popis výsledku v původním jazyce
The paper presents the comparison analysis of various techniques of DNA microarrays data pre-processing in order to choose the optimal combination of the methods in terms of the minimum value of Shannon entropy criterium. The Bioconductor package tools of R software were used during the simulation process. The DNA microarray data of patients, which were investigated on lung cancer from database Array Express, were used as the experimental data. The algorithm of step-by-step procedure of the data processing for purpose of determination of the optimal combination of the methods has been proposed as the results of the research. The results of the simulation have shown that the optimal combination of the methods for the investigated data is the following one: rma method background correction, invariant set method normalization and mas method PM correction and summarization. This combination of the methods corresponds to the minimum value of the Shannon entropy criterion.
Název v anglickém jazyce
Techniques of DNA microarray data pre-processing based on the complex use of bioconductor tools and shannon entropy
Popis výsledku anglicky
The paper presents the comparison analysis of various techniques of DNA microarrays data pre-processing in order to choose the optimal combination of the methods in terms of the minimum value of Shannon entropy criterium. The Bioconductor package tools of R software were used during the simulation process. The DNA microarray data of patients, which were investigated on lung cancer from database Array Express, were used as the experimental data. The algorithm of step-by-step procedure of the data processing for purpose of determination of the optimal combination of the methods has been proposed as the results of the research. The results of the simulation have shown that the optimal combination of the methods for the investigated data is the following one: rma method background correction, invariant set method normalization and mas method PM correction and summarization. This combination of the methods corresponds to the minimum value of the Shannon entropy criterion.
Klasifikace
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)
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
CEUR Workshop Proceedings
ISBN
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ISSN
1613-0073
e-ISSN
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Počet stran výsledku
18
Strana od-do
365-377
Název nakladatele
CEUR-WS
Místo vydání
Zaporizhzhia
Místo konání akce
Zaporizhzhia
Datum konání akce
15. 4. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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