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rdf:type
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Description
| - Není k dispozici (cs)
- We propose a methodology for predictive classification from gene expression data, able to combine the robustness of high-dimensional statistical classification methods with the comprehensibility and interpretability of simple logic-based models. We first construct a robust classifier combining contributions of a large number of gene expression values, and then (meta)-mine the classifier for compact summarizations of subgroups among genes associated with a given class therein. The subgroups are described by means of relational logic features extracted from publicly available gene ontology information. The curse of dimensionality pertaining to the gene expression based classification problem due to the large number of attributes (genes) is turned into an advantage in the secondary, meta-mining task as here the original attributes become learning examples.
- We propose a methodology for predictive classification from gene expression data, able to combine the robustness of high-dimensional statistical classification methods with the comprehensibility and interpretability of simple logic-based models. We first construct a robust classifier combining contributions of a large number of gene expression values, and then (meta)-mine the classifier for compact summarizations of subgroups among genes associated with a given class therein. The subgroups are described by means of relational logic features extracted from publicly available gene ontology information. The curse of dimensionality pertaining to the gene expression based classification problem due to the large number of attributes (genes) is turned into an advantage in the secondary, meta-mining task as here the original attributes become learning examples. (en)
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Title
| - Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns
- Není k dispozici (cs)
- Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns (en)
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skos:prefLabel
| - Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns
- Není k dispozici (cs)
- Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns (en)
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skos:notation
| - RIV/68407700:21230/06:03117834!RIV07-AV0-21230___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1ET101210513), P(KJB201210501), Z(MSM6840770012)
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/06:03117834
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - acute lymphoblastic leukemia; acute myeloid leukemia; gene-expression-based classifiers; methodology for predictive (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of the Fourth IASTED International Conference on BIOMEDICAL ENGINEERING
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Lavrač, N.
- Tolar, J.
- Železný, Filip
- Štěpánková, Olga
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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