Comparison Analysis of Biclustering Algorithms with the use of Artificial Data and Gene Expression Profiles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F18%3A43893865" target="_blank" >RIV/44555601:13440/18:43893865 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/ELNANO.2018.8477439" target="_blank" >http://dx.doi.org/10.1109/ELNANO.2018.8477439</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ELNANO.2018.8477439" target="_blank" >10.1109/ELNANO.2018.8477439</a>

Result language

angličtina

Original language name

Comparison Analysis of Biclustering Algorithms with the use of Artificial Data and Gene Expression Profiles

Original language description

The paper presents the research concerning comparison analysis of biclustering algorithms effectiveness with the use of artificial data and gene expression profiles. Internal biclustering quality criterion is proposed as the result of the simulation. The change of this criterion has high correlation with Jaccard index, which was calculated for perfect and obtained biclustering. The technology of bicluster analysis based on &apos;ensemble&apos; method was proposed as the structural block-chart of step-by-step information processing to determine the optimal biclustering level using internal biclustering quality criterion.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2018

Confidentiality

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

Article name in the collection

Conference Proceedings

ISBN

978-1-5386-6383-7

ISSN

—

e-ISSN

neuvedeno

Number of pages

7

Pages from-to

298-304

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

Kiev

Event location

Kiev, Ukraine

Event date

Apr 24, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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