netClass (version 1.2.1)

train.frsvm: Training the data using frsvm method

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

See Also

See Also as cv.frsvm

Examples

#see cv.frsvm