This node draws enrichment curves often used in virtual screening.
For this the user can choose a column by which the data is sorted and
represents the x-axis. The values on the y-axis are formed by the sum
of the hits in a second column that is also selected by the user. A
row is considered a hit if the activity value is greater than 0. The
steeper the resulting curve, the better the enrichment is. Optionally
the y-axis can show the sum of the activity values instead of the
number of hits.
The two gray lines in the view show the enrichment if the data points
were ordered randomly (lower diagonal) and the optimal enrichment if
all hits are ordered before the first non-hit (upper diagonal).
Options
Output Ports
- A one-column table with the area(s) under the enrichment curve(s)
- Table with the discovery rates (either hits or clusters) for the different curves at the selected faction sizes. Also contains the enrichment factors which describe how many times better the given order is compared to a random order.
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Views
- Enrichment Plot
- Enrichment plot
Workflows
02_Hyperparameter OptimizationKNIME Hub- 02_Hyperparameter OptimizationKNIME Hub
- 02_Hyperparameter OptimizationKNIME Hub
- 02_Hyperparameter OptimizationKNIME Hub
- 02_Hyperparameter Optimization_BonusKNIME Hub
- Show all 34 workflows
Links
- No links available
Developers
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