Objective Clustering Inductive Technology of gene expression profiles Based on SOTA Clustering Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F17%3A43893192" target="_blank" >RIV/44555601:13440/17:43893192 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.7124/bc.000961" target="_blank" >http://dx.doi.org/10.7124/bc.000961</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7124/bc.000961" target="_blank" >10.7124/bc.000961</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Objective Clustering Inductive Technology of gene expression profiles Based on SOTA Clustering Algorithm

Popis výsledku v původním jazyce

Development of the objective clustering inductive technology of gene expression profiles based on self-organizing SOTA clustering algorithm. Methods. Inductive methods of complex systems analysis were used as the basis to implement the objective clustering inductive technol- ogy of gene expression profiles. To determine optimal parameters of clustering algorithm opera- tion internal clustering quality criteria, external criterion and complex balance criterion were calculated. Results. Architecture of the objective clustering inductive technology based on SOTA clustering algorithm and step-by-step procedure of its implementation are presented in the paper. Charts of the internal, external and complex balance criteria versus algorithm?s parameters were obtained during simulation process. Analysis of the charts allows determining of the optimal parameters of the algorithm operation. Conclusion. Obtained results of the simulation have shown high effectiveness of the proposed technology. In case of gene expression profiles processing this approach creates the conditions for implementing the step-by-step cluster-bicluster technology of the data grouping at early stage of the gene regulatory network reconstruction.

Název v anglickém jazyce

Objective Clustering Inductive Technology of gene expression profiles Based on SOTA Clustering Algorithm

Popis výsledku anglicky

Development of the objective clustering inductive technology of gene expression profiles based on self-organizing SOTA clustering algorithm. Methods. Inductive methods of complex systems analysis were used as the basis to implement the objective clustering inductive technol- ogy of gene expression profiles. To determine optimal parameters of clustering algorithm opera- tion internal clustering quality criteria, external criterion and complex balance criterion were calculated. Results. Architecture of the objective clustering inductive technology based on SOTA clustering algorithm and step-by-step procedure of its implementation are presented in the paper. Charts of the internal, external and complex balance criteria versus algorithm?s parameters were obtained during simulation process. Analysis of the charts allows determining of the optimal parameters of the algorithm operation. Conclusion. Obtained results of the simulation have shown high effectiveness of the proposed technology. In case of gene expression profiles processing this approach creates the conditions for implementing the step-by-step cluster-bicluster technology of the data grouping at early stage of the gene regulatory network reconstruction.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

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

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Biopolymers and Cell

ISSN

0233-7657

e-ISSN

—

Svazek periodika

2017

Číslo periodika v rámci svazku

33(5)

Stát vydavatele periodika

UA - Ukrajina

Počet stran výsledku

14

Strana od-do

379-392

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85040925997