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This prediction addresses the primary aim of our study, since it provides a strong test of our main hypothesis – that language knowledge is an important determiner of the pattern of activation in the posterior temporal cortex.
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It cannot be explained by regulation from the TP73 protein (prediction addressed in details above).
We hope that the inclusion of new experimental data confirming our specific theoretical predictions addresses ensures the substance of our scientific contribution and also underlines the powerful cycle of using theoretical approaches both to amalgamate existing experimental data and to propose new experimental strategies to confirm theory and drive further scientific advance.
The rating prediction module addresses the prediction of ratings regarding hotels not yet rated by the active user.
Herein we present the polypharmacology browser (PPB), a multi-fingerprint browser for target prediction which addresses this issue by performing target predictions searches using six different fps and four fused molecular fingerprints (Ffps) (Table 2).
The prediction service addresses the computational details, which include (1) preparing a suitable chemical structure representation for the calculation of the descriptors, (2) calculating the descriptor values, and (3) evaluating the model using the calculated descriptor values.
That is, the target prediction algorithm addresses the following miRNA properties: reverse complementary partial binding of the miRNA to the target; the most critical binding at the 5' end of the miRNA strand; and the binding to the 3'UTR of the target.
In this study, such a prediction is addressed by a classification problem that predicts whether the patient belongs to the group of those who survived after a specified period.
Artificial intelligence and machine learning in spectrum prediction generally address the learning of predictor class parameters.
However, an increasingly large number of markers raise both statistical and computational issues in genomic selection (GS), and many methods have been developed for genomic prediction to address these problems, including ridge regression-best linear unbiased prediction (RR-BLUP), genomic best linear unbiased prediction, BayesA, BayesB, BayesCπ, and Bayesian LASSO.
The prediction problem addressed in this research concerned the prediction of the entire population.
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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