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Both the sample set and the feature set are important factors influencing the pre-miRNA classification.
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Next, we repeated the analysis using both ANCESTRYMAP and ADMIXMAP after subdividing the sample set based on reported aetiology of ESKD into diabetic (n = 277) and non-diabetic (n = 299) categories (Table 1).
Both the gene set and the sample set of the module are exclusive from those of external modules, leading to small values of X g and X s.
The sample set of parameters was selected based on the analysis of both approaches for extraction.
The sample set, called newstest2017, was released just last fall at the research conference WMT17.
When I hear consistency across the sample set, I know we're there.
It depends on the matrix type and the sample set size (number of samples in the sample set).
The overall classification accuracy of the sample set was 86.4%.
Our results support these assumptions for the sample set studied.
Metabolites measured within the sample set.
Seven miRNAs are the top 12 in both of the sample sets, and the other ten miRNAs are the top 12 in either of the sample sets.
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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