GBAmax                  Guilt By Association (GBA) using the maximum
                        rule
GBAsum                  Guilt By Association (GBA) using the sum rule
Kernel functions        Kernel functions
Methods for scoring a single vertex
                        Single vertex score functions
Methods for scoring a single vertex - weighted version
                        Single vertex score functions - weighted
                        version
Methods for scoring multiple vertices
                        Multiple vertex score functions
Methods for scoring multiple vertices - weighted version
                        Multiple vertex score functions - weighted
                        version
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 class
RWR                     Random walk with Restart on a graph
compute.acc             Utility functions
do.GBA                  GBA cross-validation experiments with multiple
                        classes
do.RANKS                RANKS cross-validation experiments with
                        multiple classes
do.RW                   Random walk cross-validation experiments with
                        multiple classes
do.RWR                  Random walk with restart cross-validation
                        experiments with multiple classes
do.loo.RANKS            RANKS leave-one-out experiments with multiple
                        classes
find.optimal.thresh.cv
                        Function to find the optimal RANKS score
                        thereshold
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.RW.cv          Random walk, GBA and labelprop multiple
                        cross-validation for a single class
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 threshold finding for a single
                        class
rw.kernel-methods       Random walk kernel
