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Following this mapping procedure, we generate synthetic households using processed PUMS data together with marginal totals from the American Community Survey (ACS) records.
By this procedure, we generate a repository of synonym relationships between database identifiers.
Following this procedure, we generate at least 100 concatenated sequences and corresponding random sequences for a given sequence group and submit them to the DNA test.
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To control the merging procedure, we generated and applied a known harmonic motion that was composed of different amplitudes sinusoid for different frequencies.
For a proof of principle of our LO-refinement procedure, we generated two types of datasets using the structures of ribosomes with two relative rigid modules (large and small subunits).
Using the above-mentioned procedure, we generated 50 realisations of the target slip distribution; their average probability mass function (Figure 3a) indicates that the marginal distributions of earthquake slip for the original and synthesised models are similar.
Using this one-step procedure we generated mice carrying a tag or a fluorescent reporter construct in the Nanog, the Sox2, and the Oct4 gene as well as Mecp2 conditional mutant mice.
To assess the effects of sampling error on the fitted values of the parameters of complementary log-log distribution, for use in later steps of the procedure, we generated 10,000 associated sets of estimates of f, b0, b1, b2 and b3 by a bootstrap procedure.
By repeating this procedure we generated seven datasets with correlation levels from 0.6 to 1.
By this procedure, we generated a normalized gene expression dataset compiling 4,010 breast tumor samples.
To test the complete motif characterization procedure, we generated randomized sequences (based on fixed known dinucleotide frequencies) seeded with known motifs (Table 1).
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