Gene expression sequences clustering based on the internal and external clustering quality criteria
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F17%3A43893056" target="_blank" >RIV/44555601:13440/17:43893056 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8098744/" target="_blank" >http://ieeexplore.ieee.org/document/8098744/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/STC-CSIT.2017.8098744" target="_blank" >10.1109/STC-CSIT.2017.8098744</a>
Alternative languages
Result language
angličtina
Original language name
Gene expression sequences clustering based on the internal and external clustering quality criteria
Original language description
The paper presents the simulation results of gene expression sequences clustering within the framework of the objective clustering inductive technology. As experimental data the gene expression sequences of lung cancer patients, which were obtained by microchip experiments, were used. The estimation of the grouping data quality was performed with the use of the internal and external clustering quality criteria on the two equal power subsets, which included the same quantity of pairwise similar objects. The final decision about the objects grouping is done based on the minimum value of the external clustering quality 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
10200 - Computer and information sciences
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Science and Information Technology, Proceedings of the XII-th International Scientific and Technical Conference
ISBN
978-1-5386-1638-3
ISSN
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e-ISSN
neuvedeno
Number of pages
4
Pages from-to
91-94
Publisher name
Lviv Polytechnic National University
Place of publication
Lviv
Event location
Lviv, Ukraine
Event date
Sep 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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