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Similarity matrix task is only available on bulk RNA-seq count matrix data node. It is used to compute the correlation of every sample/or feature vs every other sample/or feature. The result is a matrix with the same set of samples/or features on rows and columns, the value in the matrix is correlation coefficient --r.

Click on Similarity matrix task in Correlation section on the menu (Figure 1)

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SubtitleTextSimilarity matrix menu
AnchorNamesimilarity

When the dialog opens, you will be asked to select  whether the calculation samples or features (Figure 2). The are three correlation method options:

Pearson: linear correlation:  

Spearman: rank correlation: 

Kendal: rank correlation: 


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SubtitleTextSimilarity matrix dialog
AnchorNamesimilarity_dialog


Click Finish to run the task. The output report of this task can be displayed in heatmap and/or table in the data viewer.

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