To sum up, BNGA allows control of all the SSGA parameters, while taking into account the three dependencies: 1. Problem dependency—Initial CPTs and prior probabilities defined as uniform distributions. 2.
Proteins in the three dependency classes are highly dissimilar in their amino acid composition.
Pairs of trajectories were further investigated to explore the coupled coordinated relationships between different temporal patterns based on the three dependency metrics in Section 2.5.
Here we tested for difference in PPI frequency among the three dependency classes by using PPI from Hu et al. (2009).
We also compared the CAI (Sharp and Li 1987), which is positively correlated, and strongly so, with expression level (Sharp and Li 1987), among orthologs in the three dependency classes at different phylogenetic depths.
We find that the three dependency classes are statistically different in their PPI frequency (P = 0.049, using Kruskal Wallis test) with Class I proteins having a slightly higher frequency of PPIs (median PPI per protein Class I: 64, Class II: 50; Class III: 52; fig. 2).
Here, βijkl is a known correlation factor modeling the two variable dependencies, and λ is the exponential pdf parameter determined based on the path loss and shadowing between the terminals.
Here, μ denotes the exponential pdf parameter determined by the path loss and shadowing between the terminals and β is a known correlation factor modeling the two variables dependencies.
The rectory has six dependencies: the Direction of Regionalisation, the offices of Information and Telecommunications, Internal Control, Institutional relationships, Legal Affairs, and Planning and Institutional Development; and the General Secretary.
Next, we defined the similarity between two dependency paths based on word-based edit distance.
