A non-linear regression graph was plotted between cell inhibition and log10 concentration and the 50%% minimum inhibitory concentration (IC50) was determined using Graph Pad Prism software.
The non-linear regression graph was superimposed with the actual values of the size and the numbers of the polyps in each individual mouse.
The concentration-response curves were analyzed by non-linear regression (Graph-PAD program, Graph-PAD, San Diego, CA, USA).
This again revealed a trend towards higher up-regulation in 6DPE mosquitoes compared with 2DPE mosquitoes (linear regression, inset graph).
It has many important applications in analytic inequalities [2 7], combinatorial optimization [8], isoperimetric problem for polytopes [9], linear regression [10], graphs and matrices [11], gamma and digamma functions [12], reliability and availability [13], and other related fields.
Schur convexity was introduced by Schur in 1923 [6], and it has many important applications in analytic inequalities [7 12], linear regression [13], graphs and matrices [14], combinatorial optimization [15], information-theoretic topics [16], Gamma functions [17], stochastic orderings [18], reliability [19], and other related fields.
Graph (a) should be the linear regression plot and graph (b) should be the Bland-Altman plot.
The unknown constants K and V were obtained by linear regression from a graph of C tiss(t)/C in(t) against ∫ 0 t C in τ dτ / C in t computed for t > 7.5 min.
If the data on the plot of (k_{text{forch}}) as a function of (1/P_text{{m}}) cannot be described by a positive linear slope, then the true permeability is taken as (k_{text{forch}}) (i.e. the inverse of the y-intercept of the best-fit linear regression on the graph of (1/k_{D}) as a function of (Q_{v})).
