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The mean combination index (CI) was calculated from four data points at effective doses yielding 50, 75, 90 and 95% reduced viability, using the CalcuSyn program (Biosoft, Ferguson, MO, USA).
Thus means and standard errors for each selected gene were calculated from nine parallel data points.
The interpolants of linear interpolation are calculated from two nearest data points using a first order linear equation.
The mean noise floor was calculated from three points sampled above and three points sampled below the 2f1 − f2 frequency.
An average was calculated from the first fifteen data points of the new, adjusted values.
The mean CI was calculated from all data points with fraction affected (FA)>0.5, as values lower were not considered relevant for growth inhibition (Peters et al, 2000).
The data are presented as mean ± S.E.M. calculated from three independent experiments.
Mean values were calculated from three measurement.
The baseline (marked as red lines in Figures 2 and 3) is defined by the mean of the first ten data points (−1600ms to −1150ms before the 0 point) and last ten data points (from 1150ms to 1600ms after the 0 point).
Since our aim was to achieve maximal effect of the drugs tested on cancer cells, a mean CI was calculated from data points with fraction affected (Fa) > 0.5.
The total number of replicates at each time point was between four and ten, but the majority of the means were calculated from seven replicates.
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