bcSubSamplePar: Given a set of features, will find the most "dominant"...
In pimentel/sccab: Biclustering by SCCA
Description
Given a set of features, will find the most "dominant" bicluster. Works in
parallel using library "multicore." To set the number of cores used, set
options(cores = N).
Usage
1
2
bcSubSamplePar(geneDf, nSamples = 100, lam, propSample = 0.6,
lam.lwr = 3.5, clustOptions = list())
Arguments
geneDf
data.frame with genes on rows and columns defining conditions
nSamples
integer denoting the number of permutations to perform
lam
regularization parameter for conditions (maximum number of conditions allows in a bicluster)
pimentel/sccab documentation built on May 25, 2019, 7:13 a.m.
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Description
Given a set of features, will find the most "dominant" bicluster. Works in parallel using library "multicore." To set the number of cores used, set options(cores = N).
Usage
1 2 | bcSubSamplePar(geneDf, nSamples = 100, lam, propSample = 0.6,
lam.lwr = 3.5, clustOptions = list())
|
Arguments
geneDf |
data.frame with genes on rows and columns defining conditions |
nSamples |
integer denoting the number of permutations to perform |
lam |
regularization parameter for conditions (maximum number of conditions allows in a bicluster) |
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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