Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F22%3A43897026" target="_blank" >RIV/44555601:13440/22:43897026 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85112596884&origin=resultslist&sort=plf-f" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85112596884&origin=resultslist&sort=plf-f</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-82014-5_5" target="_blank" >10.1007/978-3-030-82014-5_5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review

Popis výsledku v původním jazyce

An application of both the DNA microchips tests or RNA molecules sequencing experiments allows us to form the high-dimensional matrix of genes expressions, values of which are proportional to the number of the appropriate type of genes that matched the respectively investigated sample. In the general instance, the number of genes can achieve tens of thousands of ones. This fact calls the necessity to extract the genes which are able to recognize the examined samples with a high resolvable level. In this review, we analyze the current state of works focused on genes expression profiling extraction based on the application of both single methods and hybrid models. The conducted analysis has allowed us to allocate the advantages and shortcomings of the existing techniques and form the tasks which should be solved in this subject area to improve the objectivity of gene expression profiling extraction considering the type of the investigated samples

Název v anglickém jazyce

Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review

Popis výsledku anglicky

An application of both the DNA microchips tests or RNA molecules sequencing experiments allows us to form the high-dimensional matrix of genes expressions, values of which are proportional to the number of the appropriate type of genes that matched the respectively investigated sample. In the general instance, the number of genes can achieve tens of thousands of ones. This fact calls the necessity to extract the genes which are able to recognize the examined samples with a high resolvable level. In this review, we analyze the current state of works focused on genes expression profiling extraction based on the application of both single methods and hybrid models. The conducted analysis has allowed us to allocate the advantages and shortcomings of the existing techniques and form the tasks which should be solved in this subject area to improve the objectivity of gene expression profiling extraction considering the type of the investigated samples

Druh

D - Stať ve sborníku

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

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

2021 International Scientific Conference &quot;Intellectual Systems of Decision-making and Problems of Computational Intelligence?, Proceedings

ISBN

978-3-030-82013-8

ISSN

—

e-ISSN

—

Počet stran výsledku

13

Strana od-do

69-81

Název nakladatele

Springer Nature

Místo vydání

Basel

Místo konání akce

Kherson

Datum konání akce

24. 5. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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