Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A03117834" target="_blank" >RIV/68407700:21230/06:03117834 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns
Original language description
We propose a methodology for predictive classification from gene expression data, able to combine the robustness of high-dimensional statistical classification methods with the comprehensibility and interpretability of simple logic-based models. We firstconstruct a robust classifier combining contributions of a large number of gene expression values, and then (meta)-mine the classifier for compact summarizations of subgroups among genes associated with a given class therein. The subgroups are describedby means of relational logic features extracted from publicly available gene ontology information. The curse of dimensionality pertaining to the gene expression based classification problem due to the large number of attributes (genes) is turned into anadvantage in the secondary, meta-mining task as here the original attributes become learning examples.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
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
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fourth IASTED International Conference on BIOMEDICAL ENGINEERING
ISBN
0-88986-576-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
19-24
Publisher name
Acta Press
Place of publication
Zürich
Event location
Innsbruck
Event date
Feb 15, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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