Man pages for mlDNA
Machine Learning-based Differential Network Analysis of Transcriptome Data
| AverageRankScore | Average-based rank score |
| classifier | Building machine learning-based classification models |
| ConditionSpecificGenes | Condition specifically expressed genes |
| ConvergenceDegree | Calculating covergence degree |
| cross_validation | Cross validation method |
| data | example data for mlDNA |
| exp2net | Inferring transcriptional networks from gene expression data |
| expFeatureMatrix | Expression-based feature matrix |
| geneRanker | Gene Ranking |
| interactionRemoval | interation-removal method |
| mlDNA-package | Machine Learning-based Differential Network Analysis |
| netFeatureMatrix | Generating network feature matrix |
| optimalScore | Identifying optimal prediction score |
| plotROC | Plotting receiver operating characteristic(ROC) Curves |
| predictor | Prediction |
| PSOL_InitialNegativeSelection | Initial negative set selection for building machine... |
| PSOL_NegativeExpansion | Negative expansion |
| PSOL_ResultExtraction | PSOL result extraction |
| randomSeed | Random seed generator |
