About: Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
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)
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)
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)
skos:notation
  • RIV/68407700:21230/06:03117834!RIV07-AV0-21230___
http://linked.open.../vavai/riv/strany
  • 19 ; 24
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101210513), P(KJB201210501), Z(MSM6840770012)
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
  • 502464
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/06:03117834
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • acute lymphoblastic leukemia; acute myeloid leukemia; gene-expression-based classifiers; methodology for predictive (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [88E6BC1E9F67]
http://linked.open...v/mistoKonaniAkce
  • Innsbruck
http://linked.open...i/riv/mistoVydani
  • Zürich
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Fourth IASTED International Conference on BIOMEDICAL ENGINEERING
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
  • Štěpánková, Olga
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Acta Press
https://schema.org/isbn
  • 0-88986-576-0
http://localhost/t...ganizacniJednotka
  • 21230
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software