Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6700
Title: False discovery rates in identifying functional DNA motifs
Authors: Abul, Osman
Sandve, Geir Kjetil
Drablos, Finn
Keywords: [No Keywords]
Issue Date: 2007
Publisher: IEEE
Source: 7th IEEE International Conference on Bioinformatics and Bioengineering -- OCT 14-17, 2007 -- Boston, MA
Abstract: There are several methods for scoring a set of upstream DNA sequences against a given motif. Typically, significance of raw scores are based on p-values, measured by statistical hypothesis testing. As an extension, multiple hypothesis testing is adopted in cases where there are multiple motifs to be evaluated in parallel. In this way significant motifs are identified for a given significance level. However, a set of significantly identified motifs can contain false positives. In this work, we introduce a false discovery rate estimation problem for significantly predicted motifs. An explorative method for this problem is presented. We test the method using TRANSFAC and JASPAR motif libraries on several upstream DNA subsets of S.cerevisiae. The results show the effectiveness of the method.
URI: https://hdl.handle.net/20.500.11851/6700
ISBN: 978-1-4244-1509-0
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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