netClass (version 1.2.1)

train.hubc: Predicting the data using hub nodes classification model

Description

Predicting the data using hub nodes classification model

Usage

train.hubc(x = x, y = y, DEBUG = FALSE, Gsub = Gsub, gHub = gHub, 
		hubs = hubs, nperm = 500, node.ct = 0.95, Cs = 10^(-3:3))

Arguments

x

gene 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.

gHub

Subgraph of hubs of graph Gs

hubs

Hubs in graph Gs

nperm

number of permutation test steps

node.ct

cut off value for select highly quantile nodes in a nwtwork. Defaults to 0.98).

Cs

Soft-margin tuning parameter of the SVM. Defaults to 10^c(-3:3).

Value

• The list returned
• trained
  The tranined models for traning folds
• feat
  The feature selected by each by the train

See Also

See Also as cv.hubc

Examples

#See cv.hubc