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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1540429","sourcedb":"PMC","sourceid":"1540429","source_url":"https://www.ncbi.nlm.nih.gov/pmc/1540429","text":"In our application of multiple linear regression, Y is the performance of the tools for a dataset, which is measured by the highest nucleotide-level correlation coefficient score nCC (see [9]) among all the tools. The reason for using the highest score is to smooth the disadvantages of each individual tool. The predictor variables are a set of features of a dataset which we think may be possible factors. These features include:","tracks":[{"project":"2_test","denotations":[{"id":"16722558-8786136-1694718","span":{"begin":189,"end":190},"obj":"8786136"}],"attributes":[{"subj":"16722558-8786136-1694718","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#ec93a1","default":true}]}]}}