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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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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)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

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

Article name in the collection

Atlantis Studies in Uncertainty Modelling

ISBN

978-94-6252-770-6

ISSN

2589-6644

e-ISSN

2589-6644

Number of pages

6

Pages from-to

128-133

Publisher name

Atlantis Press

Place of publication

Paris

Event location

Praha

Event date

Sep 9, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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