Sentence examples for supplementary parameters from inspiring English sources
The CycADS programs are executed by command line and get supplementary parameters from a configuration file (for details, see the manual at: http://code.cycadsys.org).org
This is probably due to the fact that the MBL model requires a serious increase in the number of parameters, as compared to two supplementary parameters of the covarion approach.
X and Y values are respectively denoted as allele A and allele B. The normalized allele intensities are transformed to total signal intensity, R (R = X + Y), and relative allelic signal intensity ratio, theta (θ = arctan(Y/ X)(2/π)) [ 12].Illumina provides two supplementary parameters, LR R and BAF, which refer to the normalized and calibrated form of R and θ.
Such a single-value can serve as supplementary parameter that quantifies a measure of downward luminous emissions.
The first kind of Hankel's function was considered as a supplementary parameter to the seismic analysis using finite element method procedure.
An important role played by the burner design itself has been emphasized and therefore an important supplementary parameter of the model is the characteristic of the burner design.
Conclusions: Continuous recording of the electrical diaphragmatic activity during weaning of prolonged ventilation in incommunicable patients can be used as supplementary parameter in monitoring the respiratory function.
For example, in the evaluation experiment, we integrated the horizontal, (x, y) displacement of the body in absolute space as a supplementary parameter in the model and visualization aid.
It uses a supplementary parameter, (omicron), responsible for an increased variability compared with the mean counts.
Supplementary BLAST parameters used were application of the Dust simple sequence filter and setting hspsepsmax = 1000, appropriate for use against very large subject sequences.
Inference is conducted in a Bayesian framework [ 17], integrating parameter uncertainties into estimated parameter posterior distributions (posteriors) using bespoke Markov chain Monte Carlo techniques [ 18, 19] (Supplementary Methods, Parameter Inference).
