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Feature many-to-one correlation

Only numeric factors are available. When multiple numeric factors are added, the correlation analysis will perform each factor with a feature in the data node independently. If you are interested in particular features, use the Search features box to add one or more. 

• Select the factors and interactions to include in the statistical test (Figure 2). 

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Correlation analysis produces a Correlation data node; double-click to open the task report (Figure 3) which is similar to the ANOVA/LIMMA-trend/LIMMA-voom and GSA task reports and includes a table with features on rows and statistical results on columns.

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Correlation across assays analysis options

Correlation and similarity measures

Features within same chromosome: this option will restrict feature comparison to the chromosome location

All features in one data node vs all features in the other data node: this option will perform the comparison using all combinations without location constraint

Pearson: linear correlation: Image Added

Spearman: rank correlation: Image Added

Report correlation pairs

P-value: select a cut-off value for significance and only those pairs that meet the criteria will be reported

abs(Correlation coefficient): select a cutoff for reporting the absolute value of the correlation coefficient (represented by the symbol r) where a perfect relationship is 1 and no relationship is 0

Correlation across assays produces a Correlation pair list data node; double-click to open the list table (Figure 5). The list table can be sorted and filtered using the column titles. 

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Click Image Modified View correlation plot to open the correlation plot for each comparison. Scroll to the bottom of the table to Image Added download the full table report. 

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