This node can detect differential expressed genes using the limma package.
This node inserts Semantic Web triples in a SPARQL endpoint.
When starting a loop with this node, each iteration processes another group of rows.
This node is used to read in imzML datasets, it currently supports only continuous datasets.
Predicts the response using a regression model.
This node computes a transformation model using linear discriminant analysis.
Class for constructing a tree that considers K randomly chosen attributes at each node.
The FilterLowExpressed node can be used to filter low expressed genes before differential expression analysis.
This node writes triples stored in a file into a Data Table.
Start node for a parameter optimization loop with a table as input
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