Logo des Repositoriums
 

Discovering temporal patterns of differential gene expression in microarray time series

dc.contributor.authorStegle, Oliver
dc.contributor.authorDenby, Katherine J.
dc.contributor.authorMcHattie, Stuart
dc.contributor.authorMead, Andrew
dc.contributor.authorWild, David L.
dc.contributor.authorGhahramani, Zoubin
dc.contributor.authorBorgwardt, Karsten M.
dc.contributor.editorGrosse, Ivo
dc.contributor.editorNeumann, Steffen
dc.contributor.editorPosch, Stefan
dc.contributor.editorSchreiber, Falk
dc.contributor.editorStadler, Peter
dc.date.accessioned2019-02-20T09:48:28Z
dc.date.available2019-02-20T09:48:28Z
dc.date.issued2009
dc.description.abstractA wealth of time series of microarray measurements have become available over recent years. Several two-sample tests for detecting differential gene expression in these time series have been defined, but they can only answer the question whether a gene is differentially expressed across the whole time series, not in which intervals it is differentially expressed. In this article, we propose a Gaussian process based approach for studying these dynamics of differential gene expression. In experiments on Arabidopsis thaliana gene expression levels, our novel technique helps us to uncover that the family of WRKY transcription factors appears to be involved in the early response to infection by a fungal pathogen.en
dc.identifier.isbn978-3-88579-251-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20297
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman conference on bioinformatics 2009
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-157
dc.titleDiscovering temporal patterns of differential gene expression in microarray time seriesen
dc.typeText/Conference Paper
gi.citation.endPage142
gi.citation.publisherPlaceBonn
gi.citation.startPage133
gi.conference.date28th to 30th September 2009
gi.conference.locationHalle-Wittenberg
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
133.pdf
Größe:
251.11 KB
Format:
Adobe Portable Document Format