fitBundles: encapsulate limma/voom analysis for consistency with...
In RamsinghLab/arkas_staging: A package that complements Kallisto for quick, informative *seq analysis
Description
Usage
Arguments
Value
Description
encapsulate limma/voom analysis for consistency with ebrowser()
Usage
1
fitBundles(kexp, design, bundleID = "gene_id", read.cutoff = 1, ...)
Arguments
kexp
A KallistoExperiment
design
A model matrix
bundleID
The ID to bundle on (default is gene_id)
read.cutoff
Exclude bundles where the maximum count is < this
...
any more
Value
A list with elements (design, voomed, fit)
RamsinghLab/arkas_staging documentation built on March 14, 2021, 11:40 a.m.
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Description Usage Arguments Value
Description
encapsulate limma/voom analysis for consistency with ebrowser()
Usage
1 | fitBundles(kexp, design, bundleID = "gene_id", read.cutoff = 1, ...)
|
Arguments
kexp |
A KallistoExperiment |
design |
A model matrix |
bundleID |
The ID to bundle on (default is gene_id) |
read.cutoff |
Exclude bundles where the maximum count is < this |
... |
any more |
Value
A list with elements (design, voomed, fit)
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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