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Power and Stability Properties of Resampling-Based Multiple Testing Procedures with Applications to Gene Oncology Studies
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Resampling-based multiple testing procedures are widely used in genomic studies to identify differentially expressed genes and to conduct genome-wide association studies.
However, the power and stability properties of these popular resampling-based multiple testing procedures have not been extensively evaluated.
Our study focuses on investigating the power and stability of seven resampling-based multiple testing procedures frequently used in high-throughput data analysis for small sample size data through simulations and gene oncology examples.
The bootstrap single-step minP procedure and the bootstrap step-down minP procedure perform the best among all tested procedures, when sample size is as small as 3 in each group and either familywise error rate or false discovery rate control is desired.
When sample size increases to 12 and false discovery rate control is desired, the permutation maxT procedure and the permutation minP procedure perform best.
Our results provide guidance for high-throughput data analysis when sample size is small.
American Psychological Association (APA)
Li, Dongmei& Dye, Timothy D.. 2013. Power and Stability Properties of Resampling-Based Multiple Testing Procedures with Applications to Gene Oncology Studies. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-484921
Modern Language Association (MLA)
Li, Dongmei& Dye, Timothy D.. Power and Stability Properties of Resampling-Based Multiple Testing Procedures with Applications to Gene Oncology Studies. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-484921
American Medical Association (AMA)
Li, Dongmei& Dye, Timothy D.. Power and Stability Properties of Resampling-Based Multiple Testing Procedures with Applications to Gene Oncology Studies. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-484921
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484921