Description Usage Arguments Value Note Author(s) References See Also Examples
View source: R/cisEffectFunctions.R
A nonparametric test for the detection of copy number induced differential gene expression. The test incorporates the uncertainty of the calling of genomic aberrations: weighted version of well-known test statistics are used. An efficient permutation re-sampling procedure is used for p-value calculation. The test statistics may be "shrunken" to borrow information across neighboring genes that share the same copy number signature.
1 2 3  | cisEffectTest(CNdata, GEdata, genes2test=NULL, GEchr, 
analysisType="univariate", testStatistic="wcvm", 
nPerm = 10000, lowCiThres = 0.1, verbose=TRUE)
 | 
CNdata | 
  Object of class   | 
GEdata | 
  Object of class   | 
genes2test | 
 
  | 
GEchr | 
  Column in the slot   | 
analysisType | 
  Indicator to determine whether the test statistic should be "shrunken" within a region. Either   | 
testStatistic | 
  Test statistic to be used, either   | 
nPerm | 
 Number of permutations used for the p-value calculation.  | 
lowCiThres | 
  A value between 0 and 1. Determines speed of efficient p-value calculation. 
Genes with a probability smaller than 0.001 of a p-value smaller than   | 
verbose | 
 Logical indicator: should intermediate output be printed on the screen?  | 
Object of class cisTest. 
This function is a rewritten version of the intCNGEan.test function of the intCNGEan-package.
Wessel N. van Wieringen: w.vanwieringen@vumc.nl
Van Wieringen, W.N., Van de Wiel, M.A. (2009), "Non-parametric testing for DNA copy number induced differential mRNA gene expression", Biometrics, 65(1), 19-29.
matchAnn2Ann, cisEffectTune, cisEffectTable, cisEffectPlot 
1 2 3 4 5 6  | # load data
data(pollackCN16)
data(pollackGE16)
# test cis-effect of DNA copy number on gene expression levels
cisRes <- cisEffectTest(pollackCN16, pollackGE16, 1:nrow(pollackGE16), 1, nPerm=25)
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