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RegnANN: Reverse Engineering Gene Networks Using Artificial Neural Networks

Figure 22

Accuracy (MCC) scores for RegnANN on synthetic Barabasi networks with 100 nodes, SLC data generation.

We consider fixed training epochs () while varying (a) learning rate and (b) momentum.

Figure 22

doi: https://doi.org/10.1371/journal.pone.0028646.g022