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Description
  • Není k dispozici (cs)
  • 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. (en)
Title
  • Relational Descriptive Analysis of Gene Expression Data
  • Není k dispozici (cs)
  • Relational Descriptive Analysis of Gene Expression Data (en)
skos:prefLabel
  • Relational Descriptive Analysis of Gene Expression Data
  • Není k dispozici (cs)
  • Relational Descriptive Analysis of Gene Expression Data (en)
skos:notation
  • RIV/68407700:21230/06:03124392!RIV07-AV0-21230___
http://linked.open.../vavai/riv/strany
  • 184 ; 194
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101210513), P(KJB201210501)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 497062
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/06:03124392
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Gene Expression Data; Relational Descriptive Analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B91D0A1484E5]
http://linked.open...v/mistoKonaniAkce
  • Riva del Garda
http://linked.open...i/riv/mistoVydani
  • Oxford
http://linked.open...i/riv/nazevZdroje
  • STAIRS 2006 - Proceedings of the Third Starting AI Researchers' Symposium
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lavrač, N.
  • Tolar, J.
  • Železný, Filip
  • Trajkovski, I.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IOS Press
https://schema.org/isbn
  • 1-58603-645-9
http://localhost/t...ganizacniJednotka
  • 21230
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