Description Usage Arguments Details Value References See Also Examples
This function takes the object that is the result of evalnetworks or evalnetworknames. It results the True positive rate (TPR) of edges for respressor and activator types.
1 | TPRall(res)
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res |
Object that is the result of evalnetworks or evalnetworknames. |
It only considers ac and re edges.
TPRall
returns an object of class '"TPRs"' which is a list with components:
TPReALL |
TPR of all edges. |
TPReALLac |
TPR of ac types of edges. |
TPReALLre |
TPR of re types of edges. |
Gokmen Altay and Frank Emmert-Streib. Revealing differences in gene network inference algorithms on the network level by ensemble methods. Bioinformatics, 2010, 26(14),1738-1744.
Frank Emmert-Streib, Gokmen Altay. Local network-based measures to assess the inferability of different regulatory networks. IET Syst. Biol. 2010, Volume 4, Issue 4, p.277-288.
plotMotifs
, evalnetworks
, evalnetworksNames
1 2 3 4 5 6 7 8 9 10 11 12 | # E <- 5 # number of experiments (data sets)
# infile <- "./netmes/data/networkDAG.sif"
# infilepath <- "./netmes/data/syn/"
# This is an example path. Change this path wrt the path of data in your computer.
# net <- readNet(infile, infilepath) # true network (+1 edge/ activator - -1 edges/repr.)
# res <- evalnetworks(E, net, infilepath)
# TPRs <- TPRall(res) #also save the fig
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