adjacency.matrix | An adjacency matrix of a random graph |
as.adjacencyList | Uses a adjacency matrix to create a adjacency list |
calc.diffusionKernel | Calculation of diffusion kernel matrix |
crossval | Performs cross-validation with a specified algorithm |
desummarize.ranks | Desummarize GeneRanks back to the corresponding probesets |
extractFeatures | Extracts features which have been choosen by the... |
fit.graph.svm | Implementation of a supervised classification framework... |
fit.networkBasedSVM | Implementation of the network-based Support Vector Machine... |
fit.rfe | Recursive Feature Elimination (RFE) |
fit.rrfe | Reweighted Recursive Feature Elimination (RRFE) |
getGeneRanks | Calculate GeneRanks as used by RRFE |
mapping | A mapping of Refseq Protein IDs to probe set IDs for the gene... |
matchMatrices | Matches the expression data to the adjacency matrix using the... |
pathClass-package | Classification with SMVs and prior knowledge |
plot.pathClassResult | Prints the result of one or more cross-validation run(s) |
predict.graphSVM | Predict Method for Graph-SVM Fits |
predict.networkBasedSVM | Predict Method for Network-based SVM Fits |
predict.rfe | Predict Method for RFE Fits |
predict.rrfe | Predict Method for RRFE Fits |
read.hprd | Parse the HPRD flat file |
summarizeProbes | Summarize probe sets |
x | Example gene expression data |
y | Example class labels for the gene expression data |
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