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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2017 Feb 7;15(3):760–773. doi: 10.1109/TCBB.2017.2665495

TABLE III.

The specificities and true discovery rates for WGCNA with varying thresholds for including edges in a final network. The results are shown for n = 20, p = 100 case with all simulation models and averaged over 1000 simulation rounds.

Simulation model Threshold Sensitivity Specificity True discovery rate True non-discovery rate
Overdispersed poisson 0.00 0.978 0.717 0.054 0.999
0.10 0.593 0.996 0.740 0.993
0.20 0.563 0.999 0.929 0.993
0.30 0.527 1.000 0.979 0.992
0.40 0.490 1.000 0.993 0.992
0.50 0.473 1.000 0.998 0.991
Multinomial 0.00 1.000 0.773 0.003 1.000
0.10 0.962 0.999 0.347 1.000
0.20 0.865 1.000 0.802 1.000
0.30 0.718 1.000 0.879 1.000
0.40 0.521 1.000 0.786 1.000
0.50 0.314 1.000 0.575 1.000
SimSeq 0.00 0.929 0.624 0.025 0.999
0.10 0.746 0.968 0.201 0.997
0.20 0.657 0.987 0.347 0.996
0.30 0.565 0.994 0.491 0.996
0.40 0.478 0.997 0.618 0.995
0.50 0.384 0.999 0.739 0.994