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OPM graph in RDF format for PC1_B workflow with same...

Created: 2010-06-25 01:10:59

Credits: Paolo

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: RDF data

Comments: 0 | Viewed: 35 times | Downloaded: 33 times

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Resolve an InChIKey on ChemSpider (1)

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 Resolves an InChIKey on ChemSpider and opens the search results in a molecules table.

Created: 2010-06-23 | Last updated: 2010-06-23

Credits: Egon Willighagen

Downloads all Bioclipse Scripting Language... (1)

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 Downloads all Bioclipse Scripting Language scripts uploaded to MyExperiment into the Bioclipse workspace, and opens them in JavaScript editors.

Created: 2010-06-23 | Last updated: 2010-06-23

Credits: Egon Willighagen

Syntetic population mapper (3)

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This workflow creates individual-level population from census data and then joins with the BHPS (British Household Panel Survey) and reaggregates. In the last stage it maps the chosen BHPS field.

Created: 2010-06-23 | Last updated: 2010-12-09

Credits: Alex Nenadic

Pre process data per group using recall re... (1)

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This process takes as input a dataset with different groups. For each group it discretises attributes into High, Medium, Low. This creates a group invariant representation.

Created: 2010-06-23 | Last updated: 2010-06-23

Discretization into Deviation Interval aro... (1)

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This process shows how numerical attributes can be discretized into intervals based on the standard deviation for each attribute around their mean values.

Created: 2010-06-22 | Last updated: 2010-06-22

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test

Created: 2010-06-22 14:27:37 | Last updated: 2010-08-18 16:46:31

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PC1 mockup part A

Created: 2010-06-21 09:42:44 | Last updated: 2010-06-21 16:17:25

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Finding all Examples that have duplicate v... (1)

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This process will retrieve all examples, who have identical values in a specific attribute. For testing, the following data can be writen into the file, that will be read by the Read CSV operator: CID,Value 3596,X 4054,X 4054,X 3000,S 3000,T 3000,U 32135,S The target of this process is to return the two examples having the same value in the CID column. To achieve this, first a real id is generated by the generate id. After this, we have to find all duplicates: For this we first remove dupl...

Created: 2010-06-18

Optimizing Discretization (1)

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This process generates a decision tree on the Iris data set. Before the decision tree is generated, the input attributes are discretised so we only work on nominal attributes. We use a combination of "Select Subprocess" and "Optimize Parameters" to select the best out of five different discretizazion methods independently for each of the attributes. The process shows, that the resulting accuracy heavily depends on the choice of the method. It varies between 64% and 94%.

Created: 2010-06-18 | Last updated: 2010-06-18