GBAmax | R Documentation |
GBAmax implements a Guilt By Association (GBA) method based on the maximum of incident edge weights
GBAmax(W, ind.positives)
W |
numeric matrix representing the adjacency matrix of the graph |
ind.positives |
indices of the "core" positive examples of the graph. They represent the indices of W corresponding to the positive examples. |
GBAmax implements a Guilt By Association (GBA) method for label ranking based on the maximum between the edge weights connecting a node to its positive neighbours
a list with one element:
p |
score associated to each node |
Oliver, S., Guilt-by-association goes global, Nature, 403, pp. 601-603, 2000.
GBAsum
# Application of GBAmax to the prediction of the DrugBank category Penicillins # using the Tanimoto chemical structure similarity network # between 1253 DrugBank drugs library(bionetdata); data(DD.chem.data); data(DrugBank.Cat); labels <- DrugBank.Cat[,"Penicillins"]; ind.pos <- which(labels==1); GBAmax(DD.chem.data, ind.pos); # Application of GBAmax to the prediction of the DrugBank category "Anti_HIV_Agents" labels <- DrugBank.Cat[,"Anti_HIV_Agents"]; ind.pos <- which(labels==1); GBAmax(DD.chem.data, ind.pos);
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