A Hybrid Model of Gene Expression Profiles Reducing Based on the Complex Use of Fuzzy Inference System and Clustering Quality Criteria

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F19%3A43894815" target="_blank" >RIV/44555601:13440/19:43894815 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.2991/eusflat-19.2019.20" target="_blank" >http://dx.doi.org/10.2991/eusflat-19.2019.20</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2991/eusflat-19.2019.20" target="_blank" >10.2991/eusflat-19.2019.20</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Hybrid Model of Gene Expression Profiles Reducing Based on the Complex Use of Fuzzy Inference System and Clustering Quality Criteria

Popis výsledku v původním jazyce

The paper presents the hybrid model of gene expression profiles reducing based on complex use of fuzzy inference system and clustering quality criteria. The average of absolute values, the variance and Shannon entropy of the gene expression profiles were used as the input parameters of fuzzy inference system. The quality of gene expression profiles was used as output parameter of the model. The boundary value of the output parameter of the model was determined based on the minimum value of the clustering quality criteria which takes into account both the character of the objects distribution within clusters relative to the mass centers of the clusters, where these objects are, and the character of the clusters mass centers distribution in the feature space. Practical implementation of the proposed model allows us to divide the gene expression profiles into informative and non-nformative objectively for purpose of the further investigation of the character of genes interconnection in the studied object.

Název v anglickém jazyce

A Hybrid Model of Gene Expression Profiles Reducing Based on the Complex Use of Fuzzy Inference System and Clustering Quality Criteria

Popis výsledku anglicky

The paper presents the hybrid model of gene expression profiles reducing based on complex use of fuzzy inference system and clustering quality criteria. The average of absolute values, the variance and Shannon entropy of the gene expression profiles were used as the input parameters of fuzzy inference system. The quality of gene expression profiles was used as output parameter of the model. The boundary value of the output parameter of the model was determined based on the minimum value of the clustering quality criteria which takes into account both the character of the objects distribution within clusters relative to the mass centers of the clusters, where these objects are, and the character of the clusters mass centers distribution in the feature space. Practical implementation of the proposed model allows us to divide the gene expression profiles into informative and non-nformative objectively for purpose of the further investigation of the character of genes interconnection in the studied object.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Atlantis Studies in Uncertainty Modelling

ISBN

978-94-6252-770-6

ISSN

2589-6644

e-ISSN

2589-6644

Počet stran výsledku

6

Strana od-do

128-133

Název nakladatele

Atlantis Press

Místo vydání

Paris

Místo konání akce

Praha

Datum konání akce

9. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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