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A Bland-Altman plot was used to illustrate significant differences between the three compared methods.
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While ΔR 2 values for other cases are negative, the difference between the two compared models is negligible in the order of 10−3 at maximum.
The LR statistical test is applied under the null hypothesis that there is no difference between the two compared models (model 1 and model 2).
The planes denote a correlation difference of zero and are red when the confidence intervals pass through zero, indicating that the actual difference between the two compared methods might be zero.
In this way we eliminate the necessity of the alignment step while effectively capturing the similarity between the two compared motifs.
Data from genes with significant differential expression levels between the two compared subgroups were displayed, together with a two-tailed p-value adjusted with α = 0.01.
Twice the log likelihood difference between the two compared models (2Δl), was compared against χ 2 with 1 df.
A log-odds ratio equal to zero indicated that there was no statistical difference between the two compared groups.
The difference between two models was estimated by likelihood ratio test statistics, twice the log likelihood difference between the two compared models (2Δl) compared against χ distribution.
After comparing the known miRNAs abundance between two samples (treatment vs. control), log2-ratio scatter plot figures were plotted between the two compared samples with p-value < 0.05.
The ICER is a measure that compares the difference in cost and effectiveness between the two compared interventions (NP and GC).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com