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Finally, in an attempt to infer how likely pairwise independence occur in practical problems, the case of non-separable functions is empirically investigated.
Moreover, the model is able to infer how likely a gene is regulated by a particular TF, which has been successfully applied in other cancer datasets [ 24– 28].
The experimental methods are important to infer how likely it is that a given protein interaction actually occurs in vivo, and it is usually the cumulative evidence rather than a single experiment that defines the reliability of the interaction.
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From this model, probabilities are inferred for how likely it is that a certain observation in another sequence is made because the sequence fits the model, or how likely it is that the observation is made despite the sequence not fitting the model.
Quantcast say it does this by looking at patterns such as how often browsers are visiting the site, and how often they are likely to visit at home and work to infer how many "real" people are accessing a website.
Moreover, the water content in the NAMs is likely to decrease for higher temperatures [ Hirschmann, 2006], and it is therefore difficult to infer how these values might have been different in deep times.
How likely is that?
How likely is it?
How likely?
Just how likely is that?
But how likely was that?
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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