Title
Testing microarray analysis methods with semi-synthetic data
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
conferenceObject
Publication
Subject
Computer. Automation
Source (journal)
Intelligent information processing and web mining
Advances in soft computing. - -
Source (book)
International Intelligent Information Processing and Web Mining, Conference, MAY 17-20, 2004, Zakopane, POLAND
Volume/pages
(2004) , p. 69-77
ISSN
1615-3871
ISBN
3-540-21331-7
ISI
000222366800008
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
The paper presents a technique for testing and comparison of microarray analysis methods. It is based on synthetic adjusting real microarray datasets with data that follow specific biological intuition (spike-ins). This allows to investigate in-depth the meaning of significantly expressed genes-compared for fold change and ANOVA in this case.
E-info
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