cn_assessGRN | R Documentation |
Recall (Sensitivity): fraction of gold standard regulatory relationships detected by GRN. Precision (1-FPR): Proportion of called relationships that are in the gold standard
cn_assessGRN(zscores, goldStandard, tRange = seq(3, 6, by = 0.25),
random = FALSE, randomIter = 10, funType = "intersect")
zscores |
matrix of zscores |
goldStandard |
gold stanard gene list |
tRange |
threshold sequence |
random |
boolean, whether to compute a random selection of calls, too, based on the number of genes actually predicted |
randomIter |
numer of random selects to make, returns only the average |
funType |
how to treat >1 TF, intersect or union |
universe |
genes tested |
List of performance results of form: data frame of Score (cutoff), Precision, Recall, Predictions (n), obs = real GRN, rand = list of random GRNs, one per
prList<-cn_assessGRN(zscores, gs, random=TRUE)
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