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If this model were true, we would detect an intermediate phenotype in strong CSN5 and Nedd8 mutants.
If our model were true, then the canonical PAK-1 activity would be predicted to be GTPase-dependent.
If such a model were true, we would expect that miRNAs predominantly target genes encoding transcription factors.
If the Instantaneous Model were true, cells should pass Start at or near the peak of Cln3 profile during G1.
Statistical inference in [ 2] was based on the Likelihood Ratio Test but it was wrongly assumed, as Little [ 3] pointed out, that Wilks theorem held for the non-linear models so that LRT would be asymptotically χ2 distributed, if the null hypothesis (specifying parameters in the model) were true.
Sn and Sp are the most general measures of model accuracy, defined such that (2) measured how many of the true positives the model was able to identify, and (3) measured how many of the positives predicted by the model were true positives.
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What grounds do biologists have for believing that what is true of a mere model is true of many different organisms?
Still, this latter falsehood seems quite a bit closer to the truth than its predecessor (assuming, again, that the standard model is true).
If the rival models are not nested then, depending on which model is true, two different Kullback Leibler distances may be defined.
Notice that the relative belief ratio is always greater than 1 which says correctly that there is evidence in favour of the logistic regression model being true.
Notice that the relative belief ratio is always greater than 1 which says there is evidence in favour of the logistic regression model being true.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com