Classification by voting feature intervals. Intervals are constucted around each class for each attribute (basically discretization). Class counts are […]
Creates a document vector for each document, whose features are identical as the ones in the reference table.
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.
Creates a document vector for each document, whose features are identical as the ones in the reference table.
Classification by voting feature intervals
The FeatureCountsMerger can be used to merge the results of multiple feature count runs.
This node reads all feature elements from the TextExporter node into a KNIME table.
Axis Position Backward
Classification by voting feature intervals.
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