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).
1 2 | bcSubSamplePar(geneDf, nSamples = 100, lam, propSample = 0.6,
lam.lwr = 3.5, clustOptions = list())
|
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) |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.