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The comparison is based on 8 of the datasets in [10] as we could not find the datasets "swsequence" and "biogrid" which they also tested.
This site includes documentation on how to find the datasets and provides examples of how to query the data using the SPARQL endpoints (http://www.ebi.ac.uk/rdf/example-sparql-queries).
We were unable to find the datasets generated for this paper (the reported SRA accession number SPR028688 did not retrieve any data in various databases), making it difficult to assess the Erk kinase, Ercc3 and Ser5 and total Pol II ChIP-seq data ourselves.
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Then, the teacher requests the learners to find the dataset and search keys that trigger collisions.
Since no such nodes were found, the datasets were concatenated, and a parsimony analysis of the combined data executed with the same settings.
As a reader, how can you find the key dataset you need at that moment, data that's not too old or too unreliable.
In practice, to find the training dataset that matches the test environment perfectly is difficult.
One task when designing archetypes is to try to find the "maximum" dataset for the clinical concept being modelled.
You can find all the datasets with the comparisons on Google Docs.
Overall, we found the two datasets are comparable with respect to miRNA promoter characteristics.
Compared to original dataset (MILE) on which the subnetworks are found, the independent dataset showed lower performance on classification.
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