Sentence examples for variations determined by from inspiring English sources

This Bayesian method determines whether the number of responses reported in a set of clinical trials are consistent with a unique response rate, up to variations determined by the finite sample sizes, or whether the trials cluster in two or more groups with statistically significant response rates.

This mutation was not present in the 1000 Genomes project (http://www.1000genomes.org/), dbSNP (http://www.ncbi.nlm.nih.gov/SNP/) or in the Human Genetic Variation Browser (includes genetic variations determined by exome sequencing of 1,208 Japanese individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals [ http://www.genome.med.kyoto-u.ac.jp/SnpDB/]).

These methods rely on the simulation of large numbers of datasets using parameter values sampled from prior distributions, i. e. the parameter ranges of variation determined by means of the best-fit approach used in the first step of this study.

The quality of the log2 data was assessed by the degree of variation, determined by the MAPD metric.

This indicates that multiple evolutionary forces are apparent, with sequence variation determined by a balance of conservative and innovative pressures.

The interassay variation determined by the measurements of two different serum samples (mean levels of 11.9 and 18.1 ng ml−1) in 10 different runs were 14.8 13.6%, respectively.

Intra- and Inter-assay coefficients of variation, determined by repeated measurements of high- and low-value quality controls, ranged between 5.2% and 13.7%.

The percentage of phenotypic variation determined by the QTL for proline was significantly reduced when using plant height as covariate but not affected when using heading date as covariate (data not shown).

The within-run (intra-assay) coefficient of variation, determined by measuring three serum samples in 15 parallel measurements, ranged from 1.9%to3.7%7% for samples containing 61.5 ng/ml (58.7 to 67.5 ng/ml) Ang-1.

The within-run coefficients of variation determined by the manufacturer were 1.05% and 0.94% for people without diabetes and for people with diabetes, respectively; the between-run coefficients of variation were 1.61% and 1.16% for people without diabetes and for people with diabetes, respectively.

However, when a QTL analysis was conducted by using these traits as covariates, very minor effects were shown with the percentage of the phenotypic variation determined by the QTL (R) being reduced from 28% to around 20%, indicating that the tolerance gene is most likely independent of these traits.