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Type: Taverna 2 Tag: recursive feature elimination User: Sonja Holl

Workflow Biomarker Identification via RFE on the Grid (2)

The first two components split the original data set into several sub-sampling sets. The RFE component performs the machine learning approach by executing several instances of a SVM, each of which consuming one sub-sample data set. The execution of the SVM takes place in a distributed computing environment, using the UNICORE-Taverna Plugin. The calc_objFunc component calculates the F-measure of the ranked gene list compared to a 'gold standard'.

Created: 2013-08-13 | Last updated: 2013-09-24

Credits: User Sonja Holl

Attributions: Workflow Biomarker Identification via EFS on the Grid

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