Go to content
UR Home

A stochastic downhill search algorithm for estimating the local false discovery rate

Scheid, Stefanie and Spang, Rainer (2004) A stochastic downhill search algorithm for estimating the local false discovery rate. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB 1 (3), pp. 98-108.

Full text not available from this repository.

at PubMed

at publisher (via DOI)

Other URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1377138&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F8857%2F30055%2F01377138.pdf%3Farnumber%3D1377138


Screening for differential gene expression in microarray studies leads to difficult large-scale multiple testing problems. The local false discovery rate is a statistical concept for quantifying uncertainty in multiple testing. In this paper, we introduce a novel estimator for the local false discovery rate that is based on an algorithm which splits all genes into two groups, representing induced ...


Export bibliographical data

Item type:Article
Date:July 2004
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identification Number:
17048385PubMed ID
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:No
Item ID:34398
Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons