Objects can be created by calls of the form new("moa.sup", ...).
Slots
sup:
Object of class "list", the matrix of supplementary data.
coord.sep:
The projection of geneset infromation on each separate data.
coord.comb:
The projection of geneset infromation on total dataset.
score:
the gene set-sample pathway score
score.data:
the gene set-sample pathway score, data separate
score.pc:
the gene set-sample pathway score, PC separate
score.sep:
the gene set-sample pathway score, separate.
p.val:
the p value matrix have the same dimension with score matrix.
Methods
There is no generic function for objects of "moa.sup", but have specific function, including:
- decompose.gs.ind
- box.gs.feature
- plotGS
- decompose.gs.group
Author(s)
Chen Meng
See Also
objects to See Also as decompose.gs.ind, box.gs.feature, plotGS, decompose.gs.group.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'contributors()' for more information and
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> library(mogsa)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/mogsa/moa.sup-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: moa.sup-class
> ### Title: Class '"moa.sup"'
> ### Aliases: moa.sup-class
> ### Keywords: classes
>
> ### ** Examples
>
> showClass("moa.sup")
Class "moa.sup" [package "mogsa"]
Slots:
Name: sup coord.sep coord.comb score score.data score.pc
Class: ANY ANY ANY ANY ANY ANY
Name: score.sep p.val
Class: ANY ANY
> data(NCI60_4array_supdata)
> data(NCI60_4arrays)
>
> sapply(NCI60_4array_supdata, dim)
agilent hgu133 hgu133p2 hgu95
[1,] 300 298 268 288
[2,] 150 150 150 150
> ana <- moa(NCI60_4arrays, proc.row = "center_ssq1", w.data = "inertia", statis = TRUE)
> plot(ana, value="eig")
> smoa <- sup.moa(ana, sup=NCI60_4array_supdata, nf=5)
>
>
>
>
>
> dev.off()
null device
1
>