Man pages for Biocomb
Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis
| Biocomb-package | Tools for Data Mining |
| CalcGene | Calculate HUM value |
| CalcROC | Calculate ROC points |
| Calculate3D | Plot the 3D-ROC curve |
| CalculateHUM_Ex | Calculate HUM value |
| CalculateHUM_Plot | Plot 2D-ROC curve |
| CalculateHUM_ROC | Compute the points for ROC curve |
| CalculateHUM_seq | Calculate HUM value |
| chi2.algorithm | Select the subset of features |
| classifier.loop | Classification and classifier validation |
| compute.auc.permutation | Calculates the p-values |
| compute.auc.random | Calculates the p-values |
| compute.aucs | Ranks the features |
| cost.curve | Plots the RCC curve for two-class problem |
| datasetF6 | simulated data |
| data_test | simulated data |
| generate.data.miss | Generate the dataset with missing values |
| input_miss | Process the dataset with missing values |
| leukemia72 | desease data |
| leukemia72_2 | desease data |
| leukemia_miss | desease data |
| pauc | Calculates the p-values |
| pauclog | Calculates the p-values |
| plotClass.result | Plots the results of classifier validation schemes |
| plotRoc.curves | Plots the ROC curve for two-class problem |
| ProcessData | Select the subset of features |
| select.cfs | Select the subset of features |
| select.fast.filter | Select the subset of features |
| select.forward.Corr | Select the subset of features |
| select.forward.wrapper | Select the subset of features |
| select.inf.chi2 | Ranks the features |
| select.inf.gain | Ranks the features |
| select.inf.symm | Ranks the features |
| select.process | Feature ranking and feature selection |
| select.relief | Ranks the features |
