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An attempt has been made to screen the available correlations, to select a correlation which can be applied with a large degree of confidence.
To perform individual analyses, the user must input a seed channel and select a correlation method in advance.
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The issue of selecting a correlation structure is relevant to obtain correct and most efficient standard errors for the regression coefficients, and is perhaps of more relevance for small samples.
How to select a proper correlation function for a particular site has been a challenging task, particularly when only a limited number of project-specific test results are obtained during geotechnical site characterization.
To maintain an adequate number of genes for testing and a moderate correlation with the driver, we select a threshold of correlation coefficient based on Additional file 1: Figure S4 such that the number of target genes is around 100.
In order to assess the significance of the correlation scores between the predicted and 'true' terms, 10,000 GO term pairs were randomly selected, and a correlation score was computed for each pair.
A total of 72 target genes of MRPS22 were selected at a correlation threshold 0.6, and 68 and 113 target genes of NDRG1 and RNF7, respectively, at a correlation threshold 0.45.
Specifically, one cannot state that clusters corresponding with a variable (i.e. smoking status) are meaningful if the input genes were selected for a correlation with the same variable.
In order to assess whether this is the case, a number of predictors were selected for a correlation analysis with the S similarity measure derived in this study: number of translations (in both directions), number of meanings translated (in both directions), concreteness, number of senses in Japanese and English, and P similarity (Table 3).
Arbitrary threshold used for selecting a graph edge (correlation > 95%) in the unweighted methods.
We also illustrate how to use the GOF statistic from QIF in selecting an optimal working correlation matrix between AR(1) and exchangeable correlation structures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com