Comparisons between the Robust Poisson and log-binomial methods were made using simulated and real data sets.
The comparison between the methods was made by calculating the RMSD between previously identified, similar binding site residues, after the proteins in the pair have been superimposed.
Comparison between the methods is made regarding the experimental estimation of traction vectors both point-wise and in an L2-norm over the boundary in question.
Comparison between the two methods is made.
Qualitative and quantitative comparisons between the two methods are made using an example problem.
The CPU time cost comparisons against the resolutions between these three methods are made using MATLAB and FORTRAN 95 computer languages separately.
Overlap and Coulomb similarity measures in coordinate space were calculated using the TGSA (Topo-Geometrical Superposition Algorithm) algorithm for the alignment of molecules instead of the one used in the previous work, and a comparison between the superposition methods was made.
The resulting linear regression equation was calculated and the comparison between the two methods was made by means of the Pearson coefficient of correlation.
A choice between two MFPT calculation methods is made available: a stochastic Monte Carlo method and the combinatorial Hill method.
The marriage between these principles and construction methods was made in heaven.
