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This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which was proposed by William W. Cohen […]
The node performs a normalized-percent-of-inhibition(NPI)-normalization based on two subsets of the data (positive and negative control).
Node to generate and draw a 2D Kernel Density Function
Node to generate a PMI Triangle Kernel Density Plot
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The node calculates coefficient of variation (CV) for all selected controls.
The node calculates coefficient of variation (CV) for all selected controls.
The node performs a percent-of-control(POC)-normalization based on a subset of the data.