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The goal is to compare local signals comprehensively to pinpoint the complex signals changing due to different datasets or scoring. There are a lot of candidate complexes (~2000) and therefore it is imperative to represent this comparison succinctly.
Probable analysis: Find the complexes that change: (a) gets better from dataset 1 to dataset 2, (b) gets worse from dataset 1 to dataset 2.
"h2hCompPlot": One way to visualize is to generate a scatterplot (for one to one comparison), where x and y-axis are AUPRC from different datasets, and color it by length groups (say 3-5, 6-10, > 10).
"MultiCompPlot": For multiple dataset comparisons, we can do a line plot for each group, separately.
The text was updated successfully, but these errors were encountered:
The goal is to compare local signals comprehensively to pinpoint the complex signals changing due to different datasets or scoring. There are a lot of candidate complexes (~2000) and therefore it is imperative to represent this comparison succinctly.
Probable analysis: Find the complexes that change: (a) gets better from dataset 1 to dataset 2, (b) gets worse from dataset 1 to dataset 2.
The text was updated successfully, but these errors were encountered: