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Computations were performed using the gologit2 function of STATA®.
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Logistic costs using the P2D function in this dataset were a little more than SPD functions.
Heat maps were produced using the heatmap.2 function (gplots package, version 2.14.2).
Machine learning models were built in the R statistical programming language using the J48 function from the RWeka R package.
For numerical simulation purpose, 4th order Runge Kutta algorithm is implemented using the ode45 function of the MATLAB software.
The differential equations were solved using the ode45 function and the lsqcurvefit function was used for the fitting of the experimental data.
The results show that logistic costs using the P2D function in this dataset were more than the SPD function and less than PD function.
This can be accomplished by using the CH5M3D function readServerFile filename), which gets the contents of the file using the XMLHttpRequest JavaScript function.
The calculations on BCPTI and BTPTT were performed by Gaussian09 [30] software using the B3LYP function and the 6-311++G 6-311++Gasis set.
The putative transcription factor binding sites (TFBS) were detected by using the Gene2Promoter function of the Genomatix software (Genomatix.de).de
In this work, the wavelet packet analysis was implemented by using the DB4 function as mother wavelet [21].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com