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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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Description
  • Objevování biologicky vysvětlitelné znalosti z dat genové exprese je jedním z nejaktuálnějších současných genomických problémů. Oproti globálním metodám jako jsou shlukování nebo dvojshlukování pracujeme s lokální znalostí - vzory. Jde o podmnožiny genů s podobným chováním nad jistými podmnožinami bilogických situací. Pracujeme s rozsáhlými daty a kandidátské vzory musí být posuzovány i z hlediska jejich koherence se stávajícími znalostmi. Tu hodnotíme na základě omezení definovaných apriorní znalostí - genovými ontologiemi nebo textovými popisy. Článek představuje metodologii pro vyhledávání častých vzorů ze SAGE dat. (cs)
  • Current analyses of co-expressed genes are often based on global approaches such as clustering or bi-clustering. An alternative way is to employ local methods and search for patterns - sets of genes displaying specific expression properties in a set of situations. The main bottleneck of this type of analysis is twofold - computational costs and an overwhelming number of candidate patterns which can hardly be further exploited. A timely application of background knowledge available in literature databases, biological ontologies and other sources can help to focus on the most plausible patterns only. The paper proposes, implements and tests a flexible constraint-based framework that enables the effective mining and representation of meaningful over-expression patterns representing intrinsic associations among genes and biological situations.
  • Current analyses of co-expressed genes are often based on global approaches such as clustering or bi-clustering. An alternative way is to employ local methods and search for patterns - sets of genes displaying specific expression properties in a set of situations. The main bottleneck of this type of analysis is twofold - computational costs and an overwhelming number of candidate patterns which can hardly be further exploited. A timely application of background knowledge available in literature databases, biological ontologies and other sources can help to focus on the most plausible patterns only. The paper proposes, implements and tests a flexible constraint-based framework that enables the effective mining and representation of meaningful over-expression patterns representing intrinsic associations among genes and biological situations. (en)
Title
  • Constraint-based knowledge discovery from SAGE data
  • Využití omezení při získávání znalostí ze SAGE dat (cs)
  • Constraint-based knowledge discovery from SAGE data (en)
skos:prefLabel
  • Constraint-based knowledge discovery from SAGE data
  • Využití omezení při získávání znalostí ze SAGE dat (cs)
  • Constraint-based knowledge discovery from SAGE data (en)
skos:notation
  • RIV/68407700:21230/08:03141950!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(MEB020818), Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika
  • 2
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
  • 361083
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03141950
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • SAGE data; backround knowledge; constraints; gene expression data; pattern mining (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [B00DA330FA45]
http://linked.open...i/riv/nazevZdroje
  • In Silico Biology - An International Journal on Computational Molecular Biology
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...v/svazekPeriodika
  • 8
http://linked.open...iv/tvurceVysledku
  • Kléma, Jiří
  • Blachon, S.
  • Cremilleux, B.
  • Gandrillon, O.
  • Soulet, A.
http://linked.open...n/vavai/riv/zamer
issn
  • 1434-3207
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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