Publication type: Conference paper
Type of review: Not specified
Title: Practical quality assessment of microarray data by simulation of differential gene expression
Authors: Howard, Brian
Sick, Beate
Heber, Steffen
DOI: 10.1007/978-3-642-01551-9_3
Proceedings: Bioinformatics Research and Applications
Pages: 18
Pages to: 27
Conference details: 5th International Symposium on Bioinformatics Research and Applications (ISBRA), Fort Lauderdale, USA, 13-16 May 2009
Issue Date: 2009
Series: Lecture Notes in Computer Science
Series volume: 5542
Publisher / Ed. Institution: Springer
ISBN: 978-3-642-01550-2
Language: English
Subject (DDC): 572: Biochemistry
Abstract: There are many methods for assessing the quality of microarray data, but little guidance regarding what to do when defective data is identified. Depending on the scientific question asked, discarding flawed data from a small experiment may be detrimental. Here we describe a novel quality assessment method that is designed to identify chips that should be discarded from an experiment. This technique simulates a set of differentially expressed genes and then assesses whether discarding each chip enhances or obscures the recovery of this known set. We compare our method to expert annotations derived using popular quality diagnostics and show, with examples, that the decision to discard a chip depends on the details of the particular experiment.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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