Man pages for predictionet
Inference for predictive networks designed for (but not limited to) genomic data

adj.get.hopsFunction to identify all children of a parent
adj.remove.cyclesFunction to remove cycles that may be present in a directed...
data.discretizeFunction to discretize data based on user specified cutoffs
eval.networkFunction computing the f1-score, comparing an inferred...
expO.colon.rasGene expression, annotations, clinical data and priors for...
jorissen.colon.rasGene expression, annotations, clinical data and priors for...
mccFunction to compute the Matthews Correlation Coefficient...
net2predFunction fitting a regression model for each gene in the data
netinfFunction performing network inference by combining priors and...
netinf2gmlFunction to create an 'igraph' object and export a network to...
netinf.cvFunction performing network inference by combining priors and...
netinf.predictFunction to make prediction of a node values given its...
predictionet-packageInference for predictive networks designed for (but not...
predictionet.press.statisticFunction computing the press statistic for all target...
predictionet.stability.cvFunction inferring networks in cross-validation
pred.scoreFunction computing performance of prediction; methods include...
predictionet documentation built on Nov. 1, 2018, 2:29 a.m.