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The analyses determined that YKL-40 is upregulated, together with other genes, in mesenchymal tissues and are associated with poor prognosis (adult malignant gliomas) [ 14, 15].
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The laboratory analyses determined the average makeup of the sampled fuels consisted of 20% fossil based carbon and 80% biogenic.
The regression analyses determined that the prediction patterns for undergraduate and graduate GPA were different, which is not surprising given the differing natures of undergraduate and graduate studies.
The descriptive analyses determined frequency, mean and variance.
At the molecular level, reporter gene analyses determined the untranslated exon 1 to be a negative regulator of the upstream enhancing effect.
Univariate analyses determined the strength of the association between each of 26 possible predictor variables and the outcome variable.
Logistic regression identified predictors of neoplasia and receiver operating characteristic curve analyses determined the cutoff to maximise the sensitivity.
The subsequent parametric modeling analyses determined how individual overpotentials were related to the geometric and operational parameters.
Univariable and multivariable logistic regression analyses determined the relationships between increasing age and the measured preoperative factors and postoperative variables.
Biological relevance analyses determined the effects of incorporating landscape data into the transmission model.
Sensitivity analyses determined the effects of varying different parameter values individually throughout the ranges listed in Table 1.
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CEO of Professional Science Editing for Scientists @ prosciediting.com