fitModelGreedy: Fitting model using a greedy search

Description Usage Arguments Value See Also

View source: R/fitModelGreedy.R

Description

This function selects pathway features from the top numTops pathways using a greedy search and returns the Fitted "fitModel" model object with best AUC.

Usage

1
fitModelGreedy(expr_training, expr_test, TValue, classifier = "Logistic", numTops = 50)

Arguments

expr_training

The training set.

expr_test

The test set.

TValue

The sorted t statistic of pathway features.

classifier

The method to train classifiers.

numTops

The number of pathway features used for feature selection.

Value

model

Fitted "fitModel" model object.

AUC

The performance (AUC) of the classifier on feature selection set.

Accuracy

The performance (Accuracy) of the classifier on feature selection set.

pathFeatures

The selected pathway features to build the classifier.

See Also

fitModel


cuihaibo1/DRWPClass documentation built on May 12, 2017, 2:21 p.m.