rnaseq_ic: Utility for using voom transformation with TMLE for biomarker...
In biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
Description
Usage
Arguments
Value
Description
This function prepares next-generation sequencing data (counts) for use with
the biomarker TMLE procedure by invoking the voom transform of limma.
Usage
1
Arguments
biotmle
A bioTMLE object containing next-generation sequencing
count data in its "assays" slot.
weights
A logical indicating whether to return quality weights
of samples in the output object.
...
Other arguments to be passed to voom or
voomWithQualityWeights as appropriate.
Value
EList object containing voom-transformed "expression" measures
of count data (actually, the mean-variance trend) in the "E" slot, to be
passed into the biomarker TMLE procedure.
biotmle documentation built on Nov. 8, 2020, 5:10 p.m.
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Description Usage Arguments Value
Description
This function prepares next-generation sequencing data (counts) for use with
the biomarker TMLE procedure by invoking the voom transform of limma.
Usage
1 |
Arguments
biotmle |
A |
weights |
A |
... |
Other arguments to be passed to |
Value
EList object containing voom-transformed "expression" measures
of count data (actually, the mean-variance trend) in the "E" slot, to be
passed into the biomarker TMLE procedure.
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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