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Exact(8)
Multiple runs are averaged, and the mean and SNRTag are calculated.
Two methods for the merging of data in the time domain from multiple runs are presented for data sources with high and low sampling rates.
One such is by Remondino and Correndo (2006) where the authors applied 'parameter tuning by repeated execution', i.e., a technique in which, multiple runs are performed for different parameter values at discrete intervals to find parameters that turn out to be most influential.
Where multiple runs are made to estimate variability up to five different –seed values were used.
Multiple runs are performed with each instance collecting weights to determine the positive or negative NGS class.
However, when IBD segments from multiple runs are merged, the haplotype identification is lost as the estimated haplotype phase typically differs slightly between runs.
Similar(52)
Multiple runs were conducted.
Multiple runs were performed to test up to 10 configurations of the algorithm, progressively applying different constraints and cost functions.
Nylon was the only material for which multiple runs were omitted based on examination of residual plots.
Peptide/spectrum matches were sorted and selected using DTASelect [37] and peptide hits from multiple runs were compared using CONTRAST [37].
Analyses were conducted as above, with the exception that heated chains and multiple runs were not used.
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