diffTopAnalysis: Differential topic analysis
In PratheepaJ/diffTop: Differential topic analysis using latent Dirichlet allocation
Description
Usage
Arguments
Value
View source: R/diffTopAnalysis.R
Description
Differential topic analysis
Usage
1
diffTopAnalysis(design = ~pna, ps, theta_aligned, subsetSample = NULL, ...)
Arguments
design
Factors of interests.
ps
phyloseq object.
theta_aligned
List. returned object of thetaAligned().
subsetSample
Character vector. Sample names to be considered.
...
Arguments to DESeq2::DeSeq.
Value
DESeq object.
PratheepaJ/diffTop documentation built on Dec. 18, 2021, 7:48 a.m.
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Description Usage Arguments Value
View source: R/diffTopAnalysis.R
Description
Differential topic analysis
Usage
1 | diffTopAnalysis(design = ~pna, ps, theta_aligned, subsetSample = NULL, ...)
|
Arguments
design |
Factors of interests. |
ps |
phyloseq object. |
theta_aligned |
List. returned object of thetaAligned(). |
subsetSample |
Character vector. Sample names to be considered. |
... |
Arguments to DESeq2::DeSeq. |
Value
DESeq object.
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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