twilight
Estimation of local false discovery rate
In a typical microarray setting with gene expression data
observed under two conditions, the local false discovery rate
describes the probability that a gene is not differentially
expressed between the two conditions given its corrresponding
observed score or p-value level. The resulting curve of
p-values versus local false discovery rate offers an insight
into the twilight zone between clear differential and clear
non-differential gene expression. Package TWILIGHT contains two
main functions: Function twilight.pval performs a two-condition
test on differences in means for a given input matrix or
expression set and computes permutation based p-values.
Function twilight performs a stochastic downhill search to
estimate local false discovery rates and effect size
distributions.
Author |
Stefanie Scheid |
Maintainer |
Stefanie Scheid |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("twilight")
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