Knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21230/14:00214309
Result on the web
<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
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Alternative languages
Result language
angličtina
Original language name
Knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
FD - Oncology and haematology
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
BIOINFORMATICS 2014: proceedings of the international conference on bioinformatics models, methods and algorithms
ISBN
978-989-758-012-3
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
31-39
Publisher name
SciTePress
Place of publication
Setubal
Event location
Angers, Loire Valley, France
Event date
Mar 3, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000345686400009