FEM (version 1.0.0)

toydata: toydata

Description

Artifical created statitics of Methylation, RNA Expression, and also the adjacency matrix and annotation matrix. Thees data are used to test and prove that FEM's ability to find hotspot or module based on inverse association between methylation and gene expression.

Usage

data(toydata)

Format

The format is: List of 4 $ statM : num [1:84, 1:2] -0.06511 0.00116 0.19583 3.93402 -0.0254 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:84] "1" "2" "3" "4" ... .. ..$ : NULL $ statR : num [1:84, 1:2] -0.0959 -0.033 0.1779 -2.5759 -0.1286 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:84] "1" "2" "3" "4" ... .. ..$ : NULL $ adjacency :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots .. ..@ i : int [1:300] 26 30 79 5 40 3 10 18 27 29 ... .. ..@ p : int [1:85] 0 2 3 5 17 20 21 23 25 27 ... .. ..@ Dim : int [1:2] 84 84 .. ..@ Dimnames:List of 2 .. .. ..$ : chr [1:84] "1" "2" "3" "4" ... .. .. ..$ : NULL .. ..@ x : num [1:300] 1 1 1 1 1 1 1 1 1 1 ... .. ..@ factors : list() $ annotation: chr [1:84, 1:2] "1" "2" "3" "4" ... ..- attr(*, "dimnames")=List of 2 .. ..$ : NULL .. ..$ : chr [1:2] "EentrezID" "GeneSymbol"

Source

Details

References

Examples

data(toydata)
## maybe str(toydata) ; plot(toydata) ...