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DASMIweb tutorial: The basics

Step 16: Applying confidence measures

When working with interaction data, it is crucial to be able to assess the quality of the data, as current experimental methods and prediction routines are still largely prone to errors. DASMIweb offers several quality assessment methods, which can be chosen in the right drop-down menu in the interaction table header.

The methods can be devided into two groups: the "originalConfidenceScore"s are contained in the respective original dataset. In the example below, HiMAP and HiMAP-core offer such scores. These scores are not comprehensive and can only be applied to interactions that are contained in the source dataset. The other group of scores are those that you have to request explicitely by clicking on the "Query Confidence Sources" button, we will see this in a moment.

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Tutorial step 16

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