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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F06%3A03124392%21RIV07-AV0-21230___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
This paper presents a method that uses gene ontologies together with the paradigm of relational subgroup discovery, to help find description of groups of genes differentially expressed in specific cancers. The descriptions are represented by means of relational features, extracted from publicly available gene ontology information, and are straightforwardly interpretable by the medical experts. We applied the proposed method to two known data sets: (i) acute lymphoblastic leukemia (ALL) vs. acute myeloid leukemia (AML) and (ii) classification of fourteen types of cancer. Significant number of discovered groups of genes had a description, confirmed by the medical expert, which highlighted the underlying biological process that is responsible for distinguishing one class from the other classes. This paper presents a method that uses gene ontologies together with the paradigm of relational subgroup discovery, to help find description of groups of genes differentially expressed in specific cancers. The descriptions are represented by means of relational features, extracted from publicly available gene ontology information, and are straightforwardly interpretable by the medical experts. We applied the proposed method to two known data sets: (i) acute lymphoblastic leukemia (ALL) vs. acute myeloid leukemia (AML) and (ii) classification of fourteen types of cancer. Significant number of discovered groups of genes had a description, confirmed by the medical expert, which highlighted the underlying biological process that is responsible for distinguishing one class from the other classes. Není k dispozici
dcterms:title
Není k dispozici Relational Descriptive Analysis of Gene Expression Data Relational Descriptive Analysis of Gene Expression Data
skos:prefLabel
Není k dispozici Relational Descriptive Analysis of Gene Expression Data Relational Descriptive Analysis of Gene Expression Data
skos:notation
RIV/68407700:21230/06:03124392!RIV07-AV0-21230___
n4:strany
184 ; 194
n4:aktivita
n5:P
n4:aktivity
P(1ET101210513), P(KJB201210501)
n4:dodaniDat
n9:2007
n4:domaciTvurceVysledku
n21:5523036
n4:druhVysledku
n20:D
n4:duvernostUdaju
n12:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
497062
n4:idVysledku
RIV/68407700:21230/06:03124392
n4:jazykVysledku
n17:eng
n4:klicovaSlova
Gene Expression Data; Relational Descriptive Analysis
n4:klicoveSlovo
n13:Relational%20Descriptive%20Analysis n13:Gene%20Expression%20Data
n4:kontrolniKodProRIV
[B91D0A1484E5]
n4:mistoKonaniAkce
Riva del Garda
n4:mistoVydani
Oxford
n4:nazevZdroje
STAIRS 2006 - Proceedings of the Third Starting AI Researchers' Symposium
n4:obor
n7:JC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
4
n4:projekt
n10:KJB201210501 n10:1ET101210513
n4:rokUplatneniVysledku
n9:2006
n4:tvurceVysledku
Železný, Filip Trajkovski, I. Tolar, J. Lavrač, N.
n4:typAkce
n14:WRD
n4:zahajeniAkce
2006-08-29+02:00
s:numberOfPages
11
n16:hasPublisher
IOS Press
n11:isbn
1-58603-645-9
n15:organizacniJednotka
21230