Network-constrained forest for regularized classification of omics data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023736%3A_____%2F15%3A00011374" target="_blank" >RIV/00023736:_____/15:00011374 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/15:00230676
Result on the web
<a href="http://www.scopus.com/inward/record.url?eid=2-s2.0-84938420127&partnerID=40&md5=055710ab530bd5461d8db9e0963ca3f0" target="_blank" >http://www.scopus.com/inward/record.url?eid=2-s2.0-84938420127&partnerID=40&md5=055710ab530bd5461d8db9e0963ca3f0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ymeth.2015.04.006" target="_blank" >10.1016/j.ymeth.2015.04.006</a>
Alternative languages
Result language
angličtina
Original language name
Network-constrained forest for regularized classification of omics data
Original language description
In this paper, we propose a random forest-based classifier that reduces this overfitting with the aid of prior knowledge in the form of a feature interaction network. We illustrate the proposed method in the task of disease classification based on measured mRNA and miRNA profiles complemented by the interaction network composed of the miRNA-mRNA target relations and mRNA-mRNA interactions corresponding to the interactions between their encoded proteins. We demonstrate that the proposed network-constrained forest employs prior knowledge to increase learning bias and consequently to improve classification accuracy, stability and comprehensibility of the resulting model.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/NT14539" target="_blank" >NT14539: XGENE.ORG -- a public tool for integrated analysis of microarray, microRNA and methylation data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Methods
ISSN
1046-2023
e-ISSN
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Volume of the periodical
83
Issue of the periodical within the volume
[July]
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
88-97
UT code for WoS article
000358755100011
EID of the result in the Scopus database
2-s2.0-84938420127