DocumentCode
3542870
Title
A study of the effects of non-specific filtering on the gene expression data prior to statistical testing
Author
He, Jiaxiu
Author_Institution
Dept. of Preventive Med., Univ. of Southern California, Los Angeles, CA, USA
fYear
2011
fDate
4-6 Dec. 2011
Firstpage
210
Lastpage
213
Abstract
The overall variance filtering together with five different multiple testing procedures are examined using simulation studies. The results show that filtering do increase the power of detection without losing control of Type I error rates. The Benjamimi & Hochberg step-up procedure is the best among the five tested ones.
Keywords
error statistics; genetics; statistical testing; Benjamimi & Hochberg step-up procedure; Type I error rate control; gene expression data; multiple testing procedures; nonspecific filtering; statistical testing; variance filtering; Covariance matrix; Data models; Error analysis; Filtering; Gene expression; Statistical analysis; Microarry data; Type I error rate; multiple testing; power;
fLanguage
English
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
Conference_Location
San Antonio, TX
ISSN
2150-3001
Print_ISBN
978-1-4673-0491-7
Electronic_ISBN
2150-3001
Type
conf
DOI
10.1109/GENSiPS.2011.6169482
Filename
6169482
Link To Document