Since, on the one hand, we only considered ratings and not rankings, and, on the other hand, different BuSs were present in the top groups, we undertook a binary consideration by assigning each BuS in a top group the value "1" and, correspondingly, all other BuSs were assigned the value "0".
Moving forward from this binary consideration, Higgins and colleagues [ 9, 10] proposed measures to quantify the impact (as opposed to the extent) of heterogeneity in meta-analyses.
In this context, phase equilibrium data was determined for different binary systems in consideration.
The solution procedure requires simultaneous consideration of binary decision and continuous variables.
The above discussion forms the basis of our understanding of molecular recognition in the crystal structure of triamterene up to the binary level but a consideration of the topology of the structure can help us discover further graph sets of higher level and, therefore, allow us to identify further structure forming bonds through their topological properties.
Thereby, for each locus of the N-locus model under consideration, a binary variable is created (Xi; i = 0, 1, 2,.., N) using the principal of constructive induction and the machinery of MDR or MDR-PDT (Equation 4) which summarizes the marginal risk profile of the genotypes at each SNP.
A special consideration for binary outcomes is the choice of regression method.
Instead, one has to apply more precise computational methods such as topology and biological networks, which take into consideration directed binary interactions and multi-step pathways connecting objects between the datasets of different types regardless of their direct overlap at gene/protein level [ 12, 13].
Specifically, we suggest a node partition method for constructing an efficient OvA-binary tree, genetic algorithm for generating patterns for a node under consideration, and OvA-binary tree exploration method for performing multi-class classification.
Binary alphabets are excluded from consideration while its different hierarchical signals always lie in the same row or column of the XC matrix.
Further evolution of the binary is analysed taking into consideration, the orbital parameters, effect of magnetic field, spectroscopic peculiarities and finally the statistics of CP binaries and Low Mass X-ray Binaries (LMXB).
