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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
decrease based » disease based (Expand Search)
size increase » size increased (Expand Search), time increased (Expand Search), sd increase (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
decrease based » disease based (Expand Search)
size increase » size increased (Expand Search), time increased (Expand Search), sd increase (Expand Search)
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Proteins from volcano plot which had notable increases or decreases listed in order of greatest to least significance (adjusted p-values).
Published 2022“…<p>Proteins from volcano plot which had notable increases or decreases listed in order of greatest to least significance (adjusted p-values).…”
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Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.
Published 2025“…Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.…”
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DWV abundance variable over time and greatest in October.
Published 2020“…The first derivative of the fitted spline in panel A was calculated to identify the rate of change of DWV abundance throughout time and 95% confidence intervals (gray) were built around the first derivative to distinguish time periods when the change in virus abundance is significantly different from zero. DWV abundance significantly decreased (red) from 0 to 100 days of the study and significantly increased (blue) from 150 to 250 days of the study.…”
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