MethodVoom: limma voom method
In afitz-gmu/DGE-Analysis: Bioinformatics plots for various Visualization
Description
Usage
Arguments
Value
Examples
Description
limma voom method
Usage
1
MethodVoom(count.table, design.matrix)
Arguments
count.table
count table
design.matrix
design matrix
Value
data.frame of differential gene expression quantification by Voom
Examples
1
2
3
4
5
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7
data("count.table")
ss <- data.frame("trt" = colnames(count.table))
rownames(ss) <- ss$trt
ss$trt <- as.integer(grepl("T",ss[,1]))
design <- model.matrix(~ss$trt)
VoomDGE <- MethodVoom(count.table = count.table , design.matrix = design)
afitz-gmu/DGE-Analysis documentation built on April 3, 2021, 2:39 a.m.
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Description Usage Arguments Value Examples
Description
limma voom method
Usage
1 | MethodVoom(count.table, design.matrix)
|
Arguments
count.table |
count table |
design.matrix |
design matrix |
Value
data.frame of differential gene expression quantification by Voom
Examples
1 2 3 4 5 6 7 | data("count.table")
ss <- data.frame("trt" = colnames(count.table))
rownames(ss) <- ss$trt
ss$trt <- as.integer(grepl("T",ss[,1]))
design <- model.matrix(~ss$trt)
VoomDGE <- MethodVoom(count.table = count.table , design.matrix = design)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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