Knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023736%3A_____%2F14%3A00011257" target="_blank" >RIV/00023736:_____/14:00011257 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/14:00214309

Výsledek na webu

<a href="http://www.bioinformatics.biostec.org/Abstracts/2014/BIOINFORMATICS_2014_Abstracts.htm#Area0FullPapers" target="_blank" >http://www.bioinformatics.biostec.org/Abstracts/2014/BIOINFORMATICS_2014_Abstracts.htm#Area0FullPapers</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome

Popis výsledku v původním jazyce

The goal of our work is to integrate conventional mRNA expression profiles with miRNA expressions using the knowledge of their validated or predicted interactions in order to improve class prediction in genetically conditioned diseases. The raw mRNA andmiRNA expression features get enriched or replaced by new aggregated features that model the mRNA-miRNA regulation. The proposed subtractive integration method is directly motivated by the inhibition/degradation models of gene expression regulation. Themethod aggregates mRNA and miRNA expressions by subtracting a proportion of miRNA expression values from their respective target mRNAs. The method is used to model the outcome or progress of myelodysplastic syndrome, a blood production disease often progressing to leukemia. The reached results demonstrate that the integration improves classification accuracy when dealing with mRNA and miRNA profiles of comparable predictive power

Název v anglickém jazyce

Knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome

Popis výsledku anglicky

The goal of our work is to integrate conventional mRNA expression profiles with miRNA expressions using the knowledge of their validated or predicted interactions in order to improve class prediction in genetically conditioned diseases. The raw mRNA andmiRNA expression features get enriched or replaced by new aggregated features that model the mRNA-miRNA regulation. The proposed subtractive integration method is directly motivated by the inhibition/degradation models of gene expression regulation. Themethod aggregates mRNA and miRNA expressions by subtracting a proportion of miRNA expression values from their respective target mRNAs. The method is used to model the outcome or progress of myelodysplastic syndrome, a blood production disease often progressing to leukemia. The reached results demonstrate that the integration improves classification accuracy when dealing with mRNA and miRNA profiles of comparable predictive power

Druh

D - Stať ve sborníku

CEP obor

FD - Onkologie a hematologie

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

BIOINFORMATICS 2014: proceedings of the international conference on bioinformatics models, methods and algorithms

ISBN

978-989-758-012-3

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

31-39

Název nakladatele

SciTePress

Místo vydání

Setubal

Místo konání akce

Angers, Loire Valley, France

Datum konání akce

3. 3. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000345686400009