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Data were analyzed using independent sampled t test, one-way analysis of variance (ANOVA) or Chi-square test.
Primary and secondary comparisons within treatment groups were calculated using paired t tests, two-tailed independent sampled t tests, or nonparametric tests as appropriate.
A RF classifier is composed of a large number of decision trees, each trained using a random subset of samples (bagging) and constructed by selecting the best splitting features from random and independent sampled subsets of features [ 20, 21].
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from three biologically independent samples.
n = 2 biologically independent samples.
T.V.A. also is obtaining independent sampling".
Three independent samples were employed for analyses.
Our findings require replication in independent samples.
Typical images from 4 independent samples evaluated.
ChIP-seq was performed in n = 2 independent samples.
n = 2 independent samples for each ChIP-seq experiment.
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