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Type: Taverna 2 Tag: ensemble feature selection Licence: by-sa

Workflow Biomarker Identification via EFS on the Grid (2)

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The first two components split the original data set into several sub-sampling sets. The EFS component performs the machine learning approach by executing several instances of a SVM, each of which consuming one sub-sample data set. Another level of SVM execution is added by taking bootstapping into account. The execution of all SVMs 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 ...

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

Credits: User Sonja Holl

Attributions: Workflow Biomarker Identification via RFE on the Grid

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