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The mutual information network (MIN) integrated with RF method is called mutual information network guided random forest (MINGRF).
Even with this discrepancy, results based on the mutual information network are still promising.
Therefore, we consider an alternative approach of constructing and utilizing outcome-guided mutual information network in survival analysis.
This implies that the mutual information network contributed more to the regression model than the other approaches.
We found that the alternative outcome-guided mutual information network further improved the prediction power of the network-based Cox regression.
A mutual information network of a complex system is obtained by computing the mutual information matrix (MIM) and selecting the threshold of mutual information (TMI).
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Similar to ODEs but in contrast to Bayesian or mutual information networks, PNFL enables a simulation of the models.
This corresponds to eight mutual information networks on each profile, including the complete network.
ARACNE mutual information networks [ 14] were built based on five expression cohorts.
In the case of mutual information networks, we also choose the optimal σ using cross-validation.
Mutual information networks This class of methods computes the mutual information matrix between the measurements associated with different proteins and, based on that, infers an undirected network.
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