There are 3984 nodes that can be used as predessesor
for a node with an input port of type Table.
The node performs a percent-of-control(POC)-normalization based on a subset of the data.
Performs a Z-score normalization based on a subset of the data.
Normalizes a vector to unit length. Vectors are defined by rows in the input table.
This node applies a binning model.
This node allows to group continuous data in intervals based on equal frequency - called bins.
Object based data is binned based on the density distribution of a reference population. For each bin a z-score is returned.
Calculates mutual information between two groups.
Removes outlier rows from a table.
Calculates mutual information between pairs of parameters.
The node calculates coefficient of variation (CV) for all selected controls.