netClass-package

netClass


We implemented average gene expression of pathway (aep), pathway activitive 
classification (PAC), Hub network Classsifccation, filter via top ranked 
genes(FrSVM), smoothed t-statistic(stSVM) for two classes microarry 
classification which employed the prior information. 


 microarray classification

 interaction network

 biomarker discovery

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).

netClass-package: An R package for network-Based microarray Classification

Description

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Details

References