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  • This chapter points out the role of genomic background knowledge in gene expression data mining. The authors demonstrate its application in several tasks such as relational descriptive analysis, constraint-based knowledge discovery, feature selection and construction or quantitative association rule mining. The chapter also accentuates diversity of background knowledge. In genomics, it can be stored in formats such as free texts, ontologies, pathways, links among biological entities and many others. The authors hope that understanding of automated integration of heterogeneous data sources helps researchers to reach compact and transparent as well as biologically valid and plausible results of their gene-expression data analysis.
  • This chapter points out the role of genomic background knowledge in gene expression data mining. The authors demonstrate its application in several tasks such as relational descriptive analysis, constraint-based knowledge discovery, feature selection and construction or quantitative association rule mining. The chapter also accentuates diversity of background knowledge. In genomics, it can be stored in formats such as free texts, ontologies, pathways, links among biological entities and many others. The authors hope that understanding of automated integration of heterogeneous data sources helps researchers to reach compact and transparent as well as biologically valid and plausible results of their gene-expression data analysis. (en)
  • Tato kapitola popisuje roli apriorní znalosti při dolování dat genové exprese. Existující znalosti ve formě textů, genových ontologií nebo signálních a metabolických stezek mohou být využity k automatickému zpřesňování genomické klasifikace nebo předvýběru vysvětlitelných vzorů přítomných v datech genové exprese. (cs)
Title
  • Gene Expression Mining Guided by Background Knowledge
  • Dolování dat genové exprese řízené apriorní znalostí (cs)
  • Gene Expression Mining Guided by Background Knowledge (en)
skos:prefLabel
  • Gene Expression Mining Guided by Background Knowledge
  • Dolování dat genové exprese řízené apriorní znalostí (cs)
  • Gene Expression Mining Guided by Background Knowledge (en)
skos:notation
  • RIV/68407700:21230/09:03151583!RIV09-AV0-21230___
http://linked.open...avai/riv/aktivita
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  • P(1ET101210513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 316051
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:03151583
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  • association rule; data mining; feature extraction; gene expression; knowledge; pattern (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1AEE949F2B90]
http://linked.open...i/riv/mistoVydani
  • Hershey
http://linked.open...i/riv/nazevZdroje
  • Data Mining and Medical Knowledge Management: Cases and Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kléma, Jiří
  • Tolar, J.
  • Železný, Filip
  • Karel, Filip
  • Cremilleux, B.
  • Trajkovski, I.
number of pages
http://purl.org/ne...btex#hasPublisher
  • IGI Publishing
https://schema.org/isbn
  • 978-1-60566-218-3
http://localhost/t...ganizacniJednotka
  • 21230
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