In order to estimate the overlap between the communities detected using the Infomap algorithm and the group of influence defined by our agents' labels, we use the normalized mutual information coefficient (I_{mathrm{norm}}) [31].
In order to calculate the pairwise dependences and the overlap between the four datasets, we used the mutual information coefficient and the Jaccard coefficient, respectively [ 17- 19].
Pairwise dependences between the CTFPs predicted by the four methods under study were calculated in terms of their mutual information coefficient.
NF-κB p65 represents the highest statistical dependency while PKCμ2 has the lowest mutual information coefficient among the captured regulatory network components of GCS-F.
Information theoretic approaches analyze the statistical dependencies of interacting components by measuring the mutual information coefficients of interactions.
Some examples are: the coefficent ε, based in entropy (Nothnagel et al., 2002); the normalized mutual information (MIR) coefficient (Zhang et al., 2009); and the normalized relative entropy (ER) coefficient (Liu and Lin, 2005).
We carry out experiments on mRMR, MBF and FCBF filters with three different metrics (mutual information, correlation coefficient and diff-criterion) using three binary data sets and four widely used classifiers.
Within the work, we decipher the underlying design mechanisms of pairwise connectivity via dynamic threshold of linear/nonlinear relevance metrics, i.e. mutual information, correlation coefficient, and P-value; and determine regulatory orientations among genetic networks with signal processing metrics, i.e. phase shift and transfer gain.
We create a feature value for each candidate receptor ligand pair by taking the two vectors and applying a pairwise similarity measure (cosine, mutual information, absolute correlation coefficient, jaccardi coefficient) to them.
We use the following relevance measures: mutual information, Pearson correlation coefficient r, Spearman rank correlation coefficient r S, and robust correlation coefficients rLWS A, rLWSLD, and rLWSLog (Definition 5).
To date, the main methods of measuring brain functional connectivity include correlation coefficient (CF), partial correlation coefficient (PCF), mutual information (MI), wavelet correlation coefficient (WCF), and coherence (CH).
