Description Usage Arguments Value See Also
This function selects pathway features from the top numTops
pathways using a greedy search and returns the Fitted "fitModel"
model object with best AUC.
1 | fitModelGreedy(expr_training, expr_test, TValue, classifier = "Logistic", numTops = 50)
|
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. |
model |
Fitted |
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. |
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