Network Constrained Forest to Improve Gene Expression Data Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00219787" target="_blank" >RIV/68407700:21230/14:00219787 - isvavai.cz</a>
Result on the web
<a href="http://radio.feld.cvut.cz/conf/poster2014/" target="_blank" >http://radio.feld.cvut.cz/conf/poster2014/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Network Constrained Forest to Improve Gene Expression Data Classification
Original language description
Onset and progression of genetically determined diseases depend on complex process called gene expression. Integrating genomic measurements of multiple character from multiple stages of that process should improve diagnosis and and overall comprehensionof the diseases. We propose a method, based on a concept of random forests, that utilizes traditional messenger RNA features and quite novel microRNA features. The methods integrates the features through domain knowledge in terms of interactions betweenmicroRNAs and their targeted messenger RNA, and interactions between proteins corresponding to the messenger RNA transcripts. Introducing prior knowledge should increase learning bias and consequently improve overall predictive accuracy, stability and comprehensibility of resulting model. We run several robust experiments to validate our method in comparison with state of the art methods. Our results suggest that out method in most of the cases achieves better or equal results. Hencefort
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
POSTER 2014 - 18th International Student Conference on Electrical Engineering
ISBN
978-80-01-05499-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Czech Technical University
Place of publication
Prague
Event location
Praha
Event date
May 15, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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