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Fig. 2 | BMC Bioinformatics

Fig. 2

From: C3NA: correlation and consensus-based cross-taxonomy network analysis for compositional microbial data

Fig. 2

Consensus-based approach guide for module identification shiny application. 1. Shiny panel navigation, including the ‘Consensus-Based Evaluations’ and ‘Download Panel’. 2. Unique patterns of the modules based on a range of a minimal number of taxa per module. The darkened columns highlighted the duplicated patterns which are not included in the consensus-based evaluations. 3. Manually select the pattern columns. The default will select all unique patterns with modules greater or equal to ten. 4. Manually select the optimal number of modules based on the silhouette, consensus, and correlation plots below. (5) Generate the code the user should run after confirming the optimally selected patterns and the optimal number of modules. (6) Plot display panel including silhouette, consensus, and correlation plots. Note: the font size in the image has been adjusted for this publication

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