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Feature based representation and detection of transcription factor binding sites

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dc.contributor.authorPudimat, Rainer
dc.contributor.authorSchukat-Talamazzini, Ernst-Günter
dc.contributor.authorBackofen, Rolf
dc.contributor.editorGiegerich, Robert
dc.contributor.editorStoye, Jens
dc.date.accessioned2019-10-11T11:32:40Z
dc.date.available2019-10-11T11:32:40Z
dc.date.issued2004
dc.description.abstractThe prediction of transcription factor binding sites is an important problem, since it reveals information about the transcriptional regulation of genes. A commonly used representation of these sites are position specific weight matrices which show weak predictive power. We introduce a feature-based modelling approach, which is able to deal with various kind of biological properties of binding sites and models them via Bayesian belief networks. The presented results imply higher model accuracy in contrast to the PSSM approach.en
dc.identifier.isbn3-88579-382-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28675
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics 2004, GCB 2004
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-53
dc.subjectBayesian networks
dc.subjecttranscription factor binding sites
dc.subjectstochastic modelling
dc.subjectgene expression
dc.titleFeature based representation and detection of transcription factor binding sitesen
dc.typeText/Conference Paper
gi.citation.endPage52
gi.citation.publisherPlaceBonn
gi.citation.startPage43
gi.conference.dateOctober 4-6, 2004
gi.conference.locationBielefeld
gi.conference.sessiontitleRegular Research Papers

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P053 - GCB 2004 - German Conference on Bioinformatics