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A pivot table was generated to display bioactivities of compounds against the two targets using the "Pivoting" node in KNIME grouping rows by InChIKeys and columns by "Target name".
A heatmap was generated to display the number of PPIs in each cluster and between every two clusters (Figure 3a).
Finally, a surface map was generated to display the results on an average brain.
23– 25 For all analyses, a forest plot was generated to display the results.
32– 34 For all analysis, a forest plot was generated to display results.
Moreover, a histogram was generated to display the distribution of hit identities.
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HTML output, formatted using CSS style sheets, is generated to display results to the end-users.
Pooled measurement of association was obtained using the random effects model and forest plots were generated to display summarized results.
Item characteristic curves were generated to display the probability of a positive response to each item as a function of disability.
Population permuted plots of the selected viruses were generated to display predicted high affinity MHC binding regions and predicted BEPI contacts.
Graphs can be generated to display feature-level properties (e.g. BLAST atlases) or sequence-level properties (e.g. GC content, GC skew).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com