About: Gene Ontology Driven Feature Filtering from Microarray Data

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Microarray data is high-dimensional and noisy. Dimension reduction, i.e. selecting a small number of genes, is an effective way to improve mining efficiency. We propose a novel approach that integrates gene ontology knowledge at the level of feature selection into microarray data to improve binary class prediction. The advantage of this filtering approach lies in considering gene-to-gene relations and selecting more meaningful features comparing to the methods evaluating genes in isolation. In addition, gene ontology knowledge can overcome the limitations of noisy microarray data. Our approach is evaluated on a real benchmark dataset. Microarray data is high-dimensional and noisy. Dimension reduction, i.e. selecting a small number of genes, is an effective way to improve mining efficiency. We propose a novel approach that integrates gene ontology knowledge at the level of feature selection into microarray data to improve binary class prediction. The advantage of this filtering approach lies in considering gene-to-gene relations and selecting more meaningful features comparing to the methods evaluating genes in isolation. In addition, gene ontology knowledge can overcome the limitations of noisy microarray data. Our approach is evaluated on a real benchmark dataset. (en) Microarray data is high-dimensional and noisy. Dimension reduction, i.e. selecting a small number of genes, is an effective way to improve mining efficiency. We propose a novel approach that integrates gene ontology knowledge at the level of feature selection into microarray data to improve binary class prediction. The advantage of this filtering approach lies in considering gene-to-gene relations and selecting more meaningful features comparing to the methods evaluating genes in isolation. In addition, gene ontology knowledge can overcome the limitations of noisy microarray data. Our approach is evaluated on a real benchmark dataset. (cs)
Title	Gene Ontology Driven Feature Filtering from Microarray Data Gene Ontology Driven Feature Filtering from Microarray Data (en) Gene Ontology Driven Feature Filtering from Microarray Data (cs)
skos:prefLabel	Gene Ontology Driven Feature Filtering from Microarray Data Gene Ontology Driven Feature Filtering from Microarray Data (en) Gene Ontology Driven Feature Filtering from Microarray Data (cs)
skos:notation	RIV/00216305:26230/10:PU86238!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(2B06052)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Smrž, Pavel Šilhavá, Jana
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	260310
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/10:PU86238
http://linked.open...riv/jazykVysledku	cze - čeština
http://linked.open.../riv/klicovaSlova	feature selection, gene ontology, microarray data, class prediction (en)
http://linked.open.../riv/klicoveSlovo	gene ontology microarray data feature selection class prediction
http://linked.open...ontrolniKodProRIV	[0560FECAA0D2]
http://linked.open...v/mistoKonaniAkce	Jindřichův Hradec
http://linked.open...i/riv/mistoVydani	Jindřichův Hradec
http://linked.open...i/riv/nazevZdroje	Znalosti 2010
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Smrž, Pavel Šilhavá, Jana
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2010-02-03 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-80-245-1636-3
http://localhost/t...ganizacniJednotka	26230
is http://linked.open...avai/riv/vysledek of	Gene Ontology Driven Feature Filtering from Microarray Data Gene Ontology Driven Feature Filtering from Microarray Data Gene Ontology Driven Feature Filtering from Microarray Data

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