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Missing value summary for VA: race (n = 6); Missing value summary for FFS: Charlson (n = 14), age (n = 47), gender (n = 11), race (n = 45), The statistical results from the logistic regressions are summarized in Table 3 and discussed below.
Different Kmer values were tested (Chikhi and Medvedev, 2014) and optimal summary statistics were obtained at higher Kmer values, up to 60, and beyond this value summary statistics deteriorated (Supplementary Tables S4 and S5).
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Using 'MoEx-1_0-st-v1.r2.dt1.mm9.core.mps' provided by Affymetrix as meta-probesets (i.e., gene expression value summaries were obtained).
Various statistical algorithms are available for probe-cell level normalization and expression-value summary.
For illustration, we first used the RMA for probe-cell level normalization and expression-value summary of the 66 microarrays in the NHRI dataset.
A Z-value summary table related to these seven genes is illustrated in Table 2. Z-values increase from normal to tumoral conditions, representing the changes in functional connectivities between these two conditions.
Dominant methods in literature for RNA-seq danalysisysis use a single valued summary statistic to represent expression level of a gene.
To generate both central tendency estimates and descriptions of the distributions of the parameters, data were selected only if they were available as subject-specific values, summary percentiles, or graphic representations from which distributional data could be deduced (e.g., histograms).
a pre-dialysis values Summary of the abbreviations recurrent in the tables and figures In the 2 databases pooled together (AIMS EOC data) the intra- and inter-individual variability in the epoetin dose prescribed, expressed by the mean absolute deviation from the mean, were 24.7 ± 27.1 and 49.8 ± 48.0 U/Kg/week (P < 0.001) respectively.
Single-valued summaries, such as signal-to-noise ratio, are insufficient to fully describe the input and output characteristics of time-of-flight mass spectra preprocessing methods.
The methods based on probe-specific p-value summaries (KM, FM, SM, MTS, TS) all produced similar results (p-values between 0.01 and 0.03).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com