predictStsvm

train

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DEBUG

Predicting the test data using stsvm trained model

stSVM

netClass is an R package for network-based feature (gene)
selection for biomarkers discovery via integrating biological
information.  This package adapts the following 5 algorithms
for classifying and predicting gene expression data using prior
knowledge: 1) average gene expression of pathway (aep); 2)
pathway activities classification (PAC); 3) Hub network
Classification (hubc); 4) filter via top ranked genes (FrSVM);
5) network smoothed t-statistic (stSVM).

predictStsvm: Predicting the test data using stsvm trained model

Description

Usage

Arguments

Value

See Also

Examples