do.GBA | GBA cross-validation experiments with multiple classes |
do.loo.RANKS | RANKS leave-one-out experiments with multiple classes |
do.RANKS | RANKS cross-validation experiments with multiple classes |
do.RW | Random walk cross-validation experiments with multiple... |
do.RWR | Random walk with restart cross-validation experiments with... |
find.optimal.thresh.cv | Function to find the optimal RANKS score thereshold |
GBAmax | Guilt By Association (GBA) using the maximum rule |
GBAsum | Guilt By Association (GBA) using the sum rule |
kernel.functions | Kernel functions |
ker.score.classifier.cv | Multiple cross-validation with RANKS for classification |
ker.score.classifier.holdout | RANKS held-out procedure for a single class |
ker.score.cv | RANKS cross-validation for a single class |
label.prop | Label propagation |
multiple.ker.score.cv | RANKS multiple cross-validation for a single class |
multiple.ker.score.thresh.cv | Function for RANKS multiple cross-validation and optimal... |
multiple.RW.cv | Random walk, GBA and labelprop multiple cross-validation for... |
RANKS-package | RANKS: Ranking of Nodes with Kernelized Score Functions |
RW | Random walk on a graph |
RW.cv | Random walk, GBA and labelprop cross-validation for a single... |
rw.kernel-methods | Random walk kernel |
RWR | Random walk with Restart on a graph |
score.multiple.vertex-methods | Multiple vertex score functions |
score.single.vertex-methods | Single vertex score functions |
Utilities | Utility functions |
weighted.score.multiple.vertex-methods | Multiple vertex score functions - weighted version |
weighted.score.single.vertex-methods | Single vertex score functions - weighted version |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.