Biocomb-package |
Tools for Data Mining |

Biocomb |
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 |