Stability of Ranked Gene Lists in Large Microarray Analysis Studies
Joint Authors
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2009), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents an empirical study that aims to explain the relationship between the number of samples and stability of different gene selection techniques for microarray datasets.
Unlike other similar studies where number of genes in a ranked gene list is variable, this study uses an alternative approach where stability is observed at different number of samples that are used for gene selection.
Three different metrics of stability, including a novel metric in bioinformatics, were used to estimate the stability of the ranked gene lists.
Results of this study demonstrate that the univariate selection methods produce significantly more stable ranked gene lists than the multivariate selection methods used in this study.
More specifically, thousands of samples are needed for these multivariate selection methods to achieve the same level of stability any given univariate selection method can achieve with only hundreds.
American Psychological Association (APA)
Stiglic, Gregor& Kokol, Peter. 2010. Stability of Ranked Gene Lists in Large Microarray Analysis Studies. BioMed Research International،Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-989037
Modern Language Association (MLA)
Stiglic, Gregor& Kokol, Peter. Stability of Ranked Gene Lists in Large Microarray Analysis Studies. BioMed Research International No. 2010 (Dec. 2010), pp.1-9.
https://search.emarefa.net/detail/BIM-989037
American Medical Association (AMA)
Stiglic, Gregor& Kokol, Peter. Stability of Ranked Gene Lists in Large Microarray Analysis Studies. BioMed Research International. 2010. Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-989037
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-989037