train.frsvm: Training the data using frsvm method

In netClass: netClass: An R Package for Network-Based Biomarker Discovery

Description

Training the data using frsvm methods

Usage

train.frsvm(x = x, y = y, DEBUG = FALSE, Gsub = Gsub, d = 0.85, op
                 = 10, aa = 50, Cs = 10^(-3:3))
          

Arguments

x	Expression data for training
y	Class labels
DEBUG	show debugging information in screen more or less.
Gsub	an adjacency matrix that represents the underlying biological network.
d	damping factor for GeneRank, defaults value is 0.5
op	the uper bound of top ranked genes
aa	the lower bound of top ranked genes
Cs	soft-margin tuning parameter of the SVM. Defaults to 10^c(-3:3).

Value

The value list returned

train	The tranined models for traning folds
feat	The feature selected by each by the train

Author(s)

Yupeng Cun [e-mail]

See Also

See Also as cv.frsvm

Examples

#see cv.frsvm

netClass documentation built on May 29, 2017, 7:18 p.m.