Genetic Algorithm for Input Component Analysis
Created: 2011-07-22 11:28:54
This workflow uses a genetic algorithm to optimize the given molecular descriptor set. Afterwards the workflow splits the data into a training set and test set and evaluates the results which are stored as PDF files.
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![header=[] body=[This is the author information extracted from the workflow version] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
![header=[] body=[These are the descriptive titles embedded within the workflow version] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
![header=[] body=[These are the descriptions embedded within the workflow version] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
![header=[] body=[These are the listed dependencies of the workflow] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200] Information](/images/famfamfam_silk/information.png?1680607579)
Inputs (5)
Processors (9)
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Outputs (0)
Datalinks (16)
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