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Instrumentalists suggested that terms such as electron should not be taken to refer to minute parts of matter; they simply function in a formal calculus that enables one to make true predictions about observables.
Well, at any rate they are aiming at true predictions, or theories that make true predictions, even if not at true theories.
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Analysis of the degree distributions and a regulator specific comparison show that CLR is 'regulator-centric', making true predictions for a higher number of regulators, while LeMoNe is 'target-centric', recovering a higher number of known targets for fewer regulators, with limited overlap in the predicted interactions between both methods.
The rationale for premise (4) is the claim that no one is able to make a true prediction turn out false.
It must be reported in tandem with some measure of the quantity of true predictions made.
It is generally recognized that the most powerful tests of computational approaches are true predictions, made 'blindly' with pertinent data not yet collected or obtained by others but not released prior to reporting computational results and predictions.
The excessive buying can help make their predictions come true.
I'm willing to do the hard work to make these predictions come true by constantly sharing my journey and using the lessons I have picked along the way to help those coming behind me and make a contribution having a conducive society with systems and structures for people living with epilepsy.
If this is true, we can make two predictions.
For instance, FirstEF (Davuluri et al., 2001) predicted only 5% of such promoters while making 16 false predictions for every true prediction.
Promoters associated with CpG islands (WCGI) were relatively easy to predict; most programs could predict ∼ 80% of those promoters by making one false prediction for every true prediction (Davuluri et al., 2001).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com