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).
| Version: | 1.2.1 |
| Depends: | R (≥ 2.14), kernlab |
| Imports: | AnnotationDbi, Matrix, ROCR, graph, igraph, samr |
| Suggests: | parallel, Biobase, KEGG.db, pathClass |
| Published: | 2013-12-03 |
| Author: | Yupeng Cun |
| Maintainer: | Yupeng Cun <yupeng.cun at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | netClass results |
| Reference manual: | netClass.pdf |
| Package source: | netClass_1.2.1.tar.gz |
| Windows binaries: | r-devel: netClass_1.2.1.zip, r-release: netClass_1.2.1.zip, r-oldrel: netClass_1.2.1.zip |
| OS X Snow Leopard binaries: | r-release: not available, r-oldrel: netClass_1.2.1.tgz |
| OS X Mavericks binaries: | r-release: not available |
| Old sources: | netClass archive |