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An inverse metabolic engineering method with "multiple omics analyses" was applied to creation of a stress tolerant strain of Saccharomyces cerevisiae.
Serial sectioning in conjunction with both optical and EBSD analyses was applied to determine the three-dimensional (3-D) morphologies of primary α phase.
Binary multiple logistic regression analyses was applied to test the association.
A specific cascade of statistical analyses was applied for the ADC values and every metabolite concentration time series.
In an attempt to identify the relative effects of explanatory variables on the outcome variable, hierarchical multivariable analyses was applied.
For ACIS imaging values, the Mann–Whitney test (nonparametric analyses) was applied to determine staining intensity differences between disease groups in the TMA.
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Laminar and turbulent analyses were applied.
Uni- and multivariate data analyses were applied.
Multivariate analyses were applied to mean-centered data.
One-way deterministic as well as probabilistic sensitivity analyses were applied.
Target and non-target chemical analyses are applied to select candidates and identify bioactive substances.
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