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SVM involves drawing a boundary between groups of samples that fall into different classes.
The purpose of supervised analysis is to identify genes that are differentially expressed between groups of samples, as well as to find genes that can be used to accurately predict the characteristics of groups.
Two-sample t-tests determined significant differences in gene expression between groups of samples.
We used Welch's t-tests to identify genes differentially expressed between groups of samples (R package stats).
A two-tailed Student's t test assuming equal variances was used to test for a significant difference in mean 2HG concentration between groups of samples.
Differences between groups of samples studied by real-time rt-PCR were tested by the appropriate non-parametric test (Mann-Whitney two samples rank sum test).
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Two-sided t-tests using log-transformed data determined significant differences in mean gene mRNA levels between groups of paired samples.
Mann-Whitney test was performed to compare maximum tumour diameter (measured as a continuous variable) between groups of independent samples.
Comparisons between groups of independent samples were performed with students t-test hemodynamic data in vitro and a 2-way ANOVA for the in vivo data.
Nuclear Magnetic Resonance (NMR) spectroscopy detects a broad range of metabolic groups; it constitutes a fast and accurate tool for discriminating between groups of related samples and provides a chemical "snapshot" of an organism's metabolic state [ 17- 19].
This proves that the mean COD between the groups of samples is not significantly different from each other.
More suggestions(15)
between classifications of samples
between batches of samples
between groups of cows
between groups of dinosaurs
between groups of patients
between groups of photos
between groups of grasses
between groups of combatants
between groups of emitters
between pairs of samples
between groups of compounds
between groups of firms
between groups of agents
between groups of people
between determinations of samples
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