PlotExp: Plot expression of a single gene
In EBSeqHMM: Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Plot expression of a single gene
Usage
1
PlotExp(NormalizedData, Conditions, Name)
Arguments
NormalizedData
Expression data after adjusting for
library size factors
Conditions
sample conditions
Name
name of the gene/isoform of interest
Details
PlotExp() function will generate line plots for genes or
isoforms of interest.
Value
PlotExp() funtion will generate line plots for genes or
isoforms of interest.
Author(s)
Ning Leng
Examples
1
2
3
4
5
6
data(GeneExampleData)
CondVector <- rep(paste("t",1:5,sep=""),each=3)
Conditions <- factor(CondVector, levels=c("t1","t2","t3","t4","t5"))
Sizes <- MedianNorm(GeneExampleData)
NormData <- GetNormalizedMat(GeneExampleData, Sizes)
PlotExp(NormData, Conditions, "Gene_1")
EBSeqHMM documentation built on Nov. 8, 2020, 5:22 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Plot expression of a single gene
Usage
1 | PlotExp(NormalizedData, Conditions, Name)
|
Arguments
NormalizedData |
Expression data after adjusting for library size factors |
Conditions |
sample conditions |
Name |
name of the gene/isoform of interest |
Details
PlotExp() function will generate line plots for genes or isoforms of interest.
Value
PlotExp() funtion will generate line plots for genes or isoforms of interest.
Author(s)
Ning Leng
Examples
1 2 3 4 5 6 | data(GeneExampleData)
CondVector <- rep(paste("t",1:5,sep=""),each=3)
Conditions <- factor(CondVector, levels=c("t1","t2","t3","t4","t5"))
Sizes <- MedianNorm(GeneExampleData)
NormData <- GetNormalizedMat(GeneExampleData, Sizes)
PlotExp(NormData, Conditions, "Gene_1")
|
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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