Considering this, Zhao et al. [ 15] divided an antigen surface graph into subgraghs by using a Markov clustering approach and then distinguished these subgraphs as epitopes or nonepitope subgraphs.
A three-dimensional surface graph and a top view of a sample DoG filter are shown in Fig. 2 in jet white colour map.2 Open image in new window Fig. 2 Left 3D surface of a Difference of Gaussian filter with the scale of the centre Gaussian equal to 8 (( sigma_{c} = 8 )).
Figure 4 shows a 3D-response surface graph obtained by the calculation.
Fig. 4 Pareto chart (a), and response surface graph (b) of the enzyme activity as functions of rotation and extraction time.
Fig. 5 Pareto chart (a), and response surface graph (b) of the enzyme activity as functions of buffer volume and time.
Fig. 2 Pareto chart (a), and response surface graph (b) of the enzyme activity as functions of pH and temperature Fig. 3 Enzyme activity as the function of pH (60 °C).
As pH produced a significant effect on enzyme activity, and no clear maximal point was observed in the response surface graph, a univariate essay was carried out at 60 °C by changing the pH from 4.5 to 8.5.
The emerging B-spline surfaces are estimated in partial on four different R3 Euclidean spaces that, ultimately, converge as a composite 5-axes response surface graph.
Cell nuclei were uniquely described by a surface triangulation graph, in which vertices were associated with nucleus positions, all faces being triangles formed by neighbouring vertices, and edges connecting the nearest neighbours only.
To analyze the behavior of the algorithm when varying its parameters, we produced a surface parameter graph where the average number of trans-factors belonging to each cluster (cluster size) was calculated using various combinations of k and τ values (see Additional file 2).
This paper introduces a geometric constraint modelling system for 5-axes response surface graph based on free-form boundary planar curves and cross-boundary curves.
