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The rest of the paper is organized as follows: in Section 2 we introduce the logger application developed for this work and explain its usage; out of many logged input parameters, we also discuss the selection of the most influential parameters used to develop the NN models.
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Heteroscedasticity of the error variance was modeled as a log-linear function of (known) log input concentration.
Copies (10 10) of GAPDH plasmid were amplified to generate standard curves to relate threshold to log input amount of template.
Data were analyzed with the GeneAmp 7900HT sequence detection system software (PerkinElmer Corp., Foster City, USA).The log input amount of the standard curve was plotted versus the output Ct values and the log input amount of each sample was calculated according to the formula (Ct - b /m, where b is the Y-intercept, and m is the slope.
b) Log input frequency scale.
Intensive logging reduced the number of hollow bearing trees and increased the volume of extensively decomposed logs, though future declines in log volume are predicted due to bottlenecks in log input.
The coloured inversion design operator was used to possibly adjust the smooth seismic mean spectrum to curve fit the impedance log at every frequency such that the log input chart would then show the impedance logs in time domain.
Standard curves were plotted (GraphPad Prism) for all three samples using log input dilution series of K-DNA templates against cycle threshold values (Ct) of the performed qPCR.
The log input amount was converted to input amount according to the formula 10^(log input amount), and triplicate input amounts were averaged for each sample.
Standard curves were generated by plotting Ct values against the log input amount of RNA.
The standard curve showed a linear relationship, spanning 7 logs, between log input DNA and threshold cycle.
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CEO of Professional Science Editing for Scientists @ prosciediting.com