| BHcorrection | Benjamini & Hochberg (1995) method for p-values correction |
| BICs | Compute the bayesian information criteria |
| classify | Wrapper function to the classification method |
| ensembleTable | Build a data frame populated with statistical indexes for each gene of each signature. |
| geNSCLC | Gene expression levels on 147 samples affected by Non Small Cell Lung Cancer disease. |
| goodAndPoorClassification | Function to classify the unsupervised clusters found through a classification procedure in good and poor groups of samples. |
| importance | Compute an index of importance of the genes in the signature. |
| NCPUS | Wrapper function to both makeCluster() and detecCore() functions of the 'parallel' library. |
| puttingAllTogether | Example of strategy to find signature from different seeds at the same time and to generate plots and summary table. |
| removeGeneFrom | Remove the gene with the lowest importance from a signature |
| searchResultsSummaryTable | Build a data frame populated with the results of a sequential searching of signatures starting from a list of seed-genes. |
| seedsFinder | Evaluate some statistics on all genes in order to select those that can be used as seeds for searching the signatures. |
| signatureFinder | Main function to find the signature. |
| signatureSummaryTable | Build a data frame populated with the basic information of a signature. |
| stNSCLC | Survival times of 147 samples affected by Non Small Cell Lung Cancer disease. |
| testGE | Test the differential expression of the the genes in a signature with respect to the good and poor prognosis groups. |