Integrative Approach to Gene Expression Data Analysis: Combining Biclustering Techniques with Gene Ontology

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F24%3A43899002" target="_blank" >RIV/44555601:13440/24:43899002 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-031-70959-3_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-70959-3_8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-70959-3_8" target="_blank" >10.1007/978-3-031-70959-3_8</a>

Result language

angličtina

Original language name

Integrative Approach to Gene Expression Data Analysis: Combining Biclustering Techniques with Gene Ontology

Original language description

This study refined biclustering methods for gene expression analysis, introducing quality criteria based on mutual information for defining bicluster structures. A hybrid biclustering model utilizing ensemble algorithms and Bayesian optimization was developed to optimize these criteria effectively. Tested on cancer gene expression data, the model used objective functions based on mean squared residue (MSR) and mutual information. Results showed the mutual information criterion to be superior, leading to fewer, more informative biclusters, enhancing gene subset identification for diagnostic purposes. Additionally, gene ontology analysis was integrated into the bicluster quality evaluation, facilitating significant gene subset formation. The findings confirmed that biclustering based on mutual information is more effective than the MSR metric for classifying samples with significant gene subsets, demonstrating the model&apos;s utility in identifying relevant genetic markers for disease diagnosis.

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

2024

Confidentiality

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

Article name in the collection

Proceedings of the 17th Conference Intellectual Systems of Decision-making and Problems of Computational Intelligence

ISBN

978-3-031-70958-6

ISSN

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e-ISSN

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Number of pages

29

Pages from-to

149-177

Publisher name

Springer

Place of publication

Curych

Event location

Ústí nad Labem

Event date

Jun 19, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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