Description Usage Arguments Details Value References See Also
Model validation using random split or cross-validation
1 2 |
type |
|
repl |
The number of replicates |
Y |
mRNA, samples x genes |
U |
CNA, samples x genes |
lambdas |
series of relative λs or default= |
method |
|
thr |
Threshold for convergence to the LASSO solver |
trace |
Debug information |
... |
Extra parameters passed through to the EPoC solver |
In the case of 'pred'
assess CV prediction error using 10-fold cross-validation with repl
replicates.
In the case of 'concordance'
assess network concordance using random split and Kendall W with repl
replicates.
A list of class plot.EPoC.validation.pred
or plot.EPoC.validation.W
respectively.
Rebecka Jörnsten, Tobias Abenius, Teresia Kling, Linnéa Schmidt, Erik Johansson, Torbjörn Nordling, Bodil Nordlander, Chris Sander, Peter Gennemark, Keiko Funa, Björn Nilsson, Linda Lindahl, Sven Nelander. (2011) Network modeling of the transcriptional effects of copy number aberrations in glioblastoma. Molecular Systems Biology 7 (to appear)
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