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Generalized rank tests for replicated microarray data

Lee, MLT ; Gray, RJ ; Björkbacka, Harry LU orcid and Freeman, MW (2005) In Statistical Applications in Genetics and Molecular Biology 4(1).
Abstract
Gene expression data from microarray experiments have been studied using several statistical models. Significance Analysis of Microarrays (SAM), for example, has proved to be useful in analyzing microarray data. In the spirit of the SAM procedures, we develop permutation based rank-tests for generalized Wilcoxon ranksum test for two-group comparisons of replicated microarray data. Also, for microarray experiments with randomized block design, we consider generalized signed rank test. The statistical analysis software package is written in R and is freely available in a package.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
blocked comparisons, rank tests, permutation tests
in
Statistical Applications in Genetics and Molecular Biology
volume
4
issue
1
publisher
Berkeley Electronic Press
external identifiers
  • wos:000238478100035
  • pmid:16646848
  • scopus:19344376460
ISSN
2194-6302
language
English
LU publication?
yes
id
25fd86bb-9196-4884-90c6-930da65d5b6f (old id 404730)
alternative location
http://www.bepress.com/cgi/viewcontent.cgi?article=1093&context=sagmb
date added to LUP
2016-04-01 12:33:02
date last changed
2022-01-27 06:38:32
@article{25fd86bb-9196-4884-90c6-930da65d5b6f,
  abstract     = {{Gene expression data from microarray experiments have been studied using several statistical models. Significance Analysis of Microarrays (SAM), for example, has proved to be useful in analyzing microarray data. In the spirit of the SAM procedures, we develop permutation based rank-tests for generalized Wilcoxon ranksum test for two-group comparisons of replicated microarray data. Also, for microarray experiments with randomized block design, we consider generalized signed rank test. The statistical analysis software package is written in R and is freely available in a package.}},
  author       = {{Lee, MLT and Gray, RJ and Björkbacka, Harry and Freeman, MW}},
  issn         = {{2194-6302}},
  keywords     = {{blocked comparisons; rank tests; permutation tests}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Berkeley Electronic Press}},
  series       = {{Statistical Applications in Genetics and Molecular Biology}},
  title        = {{Generalized rank tests for replicated microarray data}},
  url          = {{http://www.bepress.com/cgi/viewcontent.cgi?article=1093&context=sagmb}},
  volume       = {{4}},
  year         = {{2005}},
}