Technique of gene regulatory networks reconstruction based on ARACNE inference algorithm

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Technique of gene regulatory networks reconstruction based on ARACNE inference algorithm

Original language description

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

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

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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

CEUR Workshop Proceedings

ISBN

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ISSN

1613-0073

e-ISSN

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Number of pages

13

Pages from-to

195-207

Publisher name

CEUR-WS

Place of publication

Lviv

Event location

Lviv

Event date

Nov 11, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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