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Finally, we validated the performance of the proposed methods in inferring the synaptic conductances.
The consistency of our findings from the inferred network with experimental data and predictions by others support the validity of our methods in inferring the regulatory networks.
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Also, the effectiveness of the MulRF method in inferring species trees from multi-copy gene trees suggests that other tree distance measures can be used in the same context.
In addition, the methods are effective in inferring phylogenetic distances.
The simultaneous use of these molecular methods could help in inferring the signature of natural histories of organisms at different time scales, i.e. evolutionary history and historic migration patterns.
As presented in [ 37], the confusion matrix measures could be interpreted as how much the GNs inference method gets "confused" in inferring the network edges.
Our method appears powerful in inferring the timepoints at which transcriptional control of individual genes switches.
This suggests that, not only is the CHC method more accurate in inferring LOH, but the increased precision may allow more specific delineation of smaller regions of LOH.
However, when examining how well the methods performed on the clade produced from the initial switch to ERA, we observed that the methods were more accurate in inferring the actual phylogeny; in particular, ML again proved to be the most effective method for accurately regenerating the actual clade.
Another general trend is that the PhyML and MrBayes methods were much more effective in inferring the correct supporting tree and reticulation events than their BIONJ and DNAPARS counterparts.
This lead to an increased interest in methods for inferring high-level biological information.
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