Techniques of DNA microarray data pre-processing based on the complex use of bioconductor tools 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%2F19%3A43894621" target="_blank" >RIV/44555601:13440/19:43894621 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Techniques of DNA microarray data pre-processing based on the complex use of bioconductor tools and shannon entropy
Original language description
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.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CEUR Workshop Proceedings
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
18
Pages from-to
365-377
Publisher name
CEUR-WS
Place of publication
Zaporizhzhia
Event location
Zaporizhzhia
Event date
Apr 15, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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