Sentence examples for mutual information matrix from inspiring English sources

Other techniques, for example the calculation of the mutual information matrix, could also provide insight into correlations between model interactions.

MRN, CLR, ARA, MRN-L, CLR-L and ARA-L require the calculation of a mutual information matrix.

Using ARACNE [ 3, 4] and the same mutual information matrix we obtain 167 interactions of which 21 are known.

We then took the first column from the resulting mutual information matrix as the measure of the directed relationship from the predictors to the target gene.

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).

There the complexity is evaluated assuming that the mutual information matrix is already computed, since all methods are based on it, contributing a complexity of O(n).

The packages of c3net and igraph, and self-written procedures, were used for network reconstruction, including estimations of mutual information, adjacency matrix, network parameters and network topological properties, and graphical representations.

Theoretical and computational methods to reverse engineer signaling networks have been developed using genome-wide proteomic, expression, and deletion data, and these techniques employ Boolean methods, mutual information, Bayesian inference, regulation matrix methods based on differential equations, and machine learning approaches (reviewed in [19], [20]).

To obtain another measure of effect size that could be used to compare with other studies, we also calculated the mutual information from the confusion matrix that shows the joint probability of the actual and predicted individuals in cross-validated data.

In[2, 3], the optimal relay amplifying matrix maximizing the mutual information (MI) between the source and destination was derived assuming that the source covariance matrix is an identity matrix.

We describe the algorithm we have developed based on the technique of determinant inequalities and the concept of minimization of mutual information to process the covariance matrix element by element to minimize the noise caused by systematic uncertainty in the SPECT imaging of 113mIn and its utility to experimentalists to design and improve their process of measurement and instrumentation.