In this paper we introduce a minimal model generation calculus for multi-modal logic K(m) and extensions of K(m) with the axioms T and B. The calculus provides a method to generate all and only minimal modal Herbrand models, and each model is generated exactly once.
Each model is generated by an instance of CAP-growth.
MD simulation trajectories for at least 3,100 ps for each model were generated previously.
Predictions of the C-index for each model were generated from 1,000 bootstrap samples of the risk assignments from the BC TAM verification data using the R package Hmisc.
As RF is a stochastic modelling approach, that is, each tree is based on a random subset of samples and variables, each RF model was generated 1,000 times.
Each KO model was generated from the wildtype model by setting the parameters involving the KO molecule null.
Each statistical model was generated using results from 75% of the subjects to build the model, which was then assessed for predictive accuracy on the remaining 25%.
For instance, each mutant FFR model was generated from a trajectory in the interval ranging from 1.9 ns to 5.0 ns.
Each random forest based model was generated based on a randomly selected subset of two thirds of the data and then evaluated on the remaining third.
A PDBQT file for each snapshot from the FFR model was generated employing Kollman partial atomic charges for each atom type.
