DownloadnetClass 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).
Features
- protein-protein interaction network
- biomarker discovery
- classifciation
- microarray
- gene expression profile
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