Description Usage Arguments Details Value Examples
Sorting the microarray probe-set identifiers according to the differential expression values with respect to the untreated hybridization to obtaine a ranked list. Gene-expression profiles in are represented in a nonparametric fashion.
1 | getRLs(control, treatment)
|
control |
a matrix, including the vehicle control gene expression profiles correspongding to the treatment gene expression profiles. |
treatment |
a matrix, is composed of gene expression profiles. |
The genes on the array are rank-ordered according to their differential expression relative to the control. First, control and treatment values less than a primary threshold value (quartile) were set to that threshold value. Finally, probe sets were ranked in descending order of d, where d is the ratio of the corresponding treatment-to-control values. For probe sets where d=1, a lower threshold was applied to the original difference values and a new treatment to control ratio (d') calculated. These probe sets were then sub-sorted in descending order of d.
A matrix is composed of ranked lists, a ranked list represents the correspongding gene expression profiles.
1 2 3 4 5 6 7 8 9 10 11 12 | if (require(GEOquery)){
#treatment gene-expression profiles
GSM118720 <- getGEO(filename=system.file("extdata/GSM118720.soft",package=
"GeneExpressionSignature"))
#control gene-expression profiles
GSM118721 <- getGEO(filename=system.file("extdata/GSM118721.soft",package=
"GeneExpressionSignature"))
#data ranking according to the different expression values
control <- as.matrix(as.numeric(Table(GSM118721)[,2]))
treatment <- as.matrix(as.numeric(Table(GSM118720)[,2]))
ranked_list <-getRLs(control,treatment)
}
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