problem.joint.predict.many: problem joint predict many
In tdhock/PeakSegPipeline: Genome-Wide Peak Prediction Using Supervised Learning and Optimal Segmentation
Description
Usage
Arguments
Value
Author(s)
Description
Compute all joint peak predictions for one separate problem, in
parallel over joint problems using psp_lapply.
Usage
1
2
3
problem.joint.predict.many(prob.dir,
verbose = getOption("PeakSegPipeline.verbose",
1))
Arguments
prob.dir
project/problems/problemID
verbose
Value
data.table of predicted peaks.
Author(s)
Toby Dylan Hocking
tdhock/PeakSegPipeline documentation built on March 3, 2020, 1:35 a.m.
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Description Usage Arguments Value Author(s)
Description
Compute all joint peak predictions for one separate problem, in
parallel over joint problems using psp_lapply.
Usage
1 2 3 | problem.joint.predict.many(prob.dir,
verbose = getOption("PeakSegPipeline.verbose",
1))
|
Arguments
prob.dir |
project/problems/problemID |
verbose |
Value
data.table of predicted peaks.
Author(s)
Toby Dylan Hocking
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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