Technique of gene regulatory networks reconstruction based on ARACNE inference algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F19%3A43894819" target="_blank" >RIV/44555601:13440/19:43894819 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Technique of gene regulatory networks reconstruction based on ARACNE inference algorithm

Popis výsledku v původním jazyce

The paper presents the technique of gene regulatory networks reconstruction based on ARACNE (Algorithm for the Reconstruction of Accurate Cellular Networks) inference algorithm. The research concerning optimisation of gene network topology on the basis of the complex apply of both the topological parameters of network and Harrington desirability index has been presented in the paper. Affymetrix DNA-chips mouse expression array moe430a from the database ArrayExpress was used as the experimental data during the experiment implementation. This data contains the gene expression profiles of mus musculus organism obtained as a result of DNA-microarray experiment implementation. The optimal parameters of ARACNE algorithm was determined during the simulation process. These parameters correspond to maximum value of Harrington desirability index which include as the components the topological parameters of the network

Název v anglickém jazyce

Technique of gene regulatory networks reconstruction based on ARACNE inference algorithm

Popis výsledku anglicky

The paper presents the technique of gene regulatory networks reconstruction based on ARACNE (Algorithm for the Reconstruction of Accurate Cellular Networks) inference algorithm. The research concerning optimisation of gene network topology on the basis of the complex apply of both the topological parameters of network and Harrington desirability index has been presented in the paper. Affymetrix DNA-chips mouse expression array moe430a from the database ArrayExpress was used as the experimental data during the experiment implementation. This data contains the gene expression profiles of mus musculus organism obtained as a result of DNA-microarray experiment implementation. The optimal parameters of ARACNE algorithm was determined during the simulation process. These parameters correspond to maximum value of Harrington desirability index which include as the components the topological parameters of the network

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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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

CEUR Workshop Proceedings

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

13

Strana od-do

195-207

Název nakladatele

CEUR-WS

Místo vydání

Lviv

Místo konání akce

Lviv

Datum konání akce

11. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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