Sentence examples for predictions can give from inspiring English sources

Exact(2)

Thus, the predictions can give a hint of the possible mechanism, even though the final validation must be obtained experimentally.

The primary reason for this is that census forecasts beyond 1-day rely heavily on accurate predictions of the number of arrivals for intermediary days, thus bias in intermediary predictions can give rise to considerable under- over-estimation in downstream census forecasts.

Similar(58)

Although it is clear that the consensus vote combined with DB and GTD prediction can give robust prediction for EX, OM and PP, there are many proteins with either CP or CM localization remaining.

Even though all the ptr-miRNA sequence validation results were the same as those predicted computationally, it did not mean all the computational miRNA prediction methods can give the accurate sequences of potential miRNAs identified.

Regardless of the limited sample set, the quantitative prediction model can give consideration to both universality and generalization to meet the requirements of engineering computation application.

These are two predictions that I can give you with 100% certainty.

SGD and BIOGRID collect and organize biological information on proteins and their interactions of the budding yeast S. cerevisiae, but we also used published data [ 4] from traditional experimental methods and also from computational predictions, as these can give additional valuable information.

The prediction of necrosis can give both the surgeon and the patient the chance of local anesthesia.

Nevertheless such predictions can potentially give rise to false positives, as even random sets of miRNA promoters contain some over-represented motifs.

We compared the performances of two docking approaches, Autodock and Ligandfit, and found that the decrease of the network deficiency based on the predictions given by Autodock can give better correlation with the experimental data (r = 0.671) than that based on the predictions given by Ligandfit (r = 0.47).

It is found that the standard k ɛ model can give predictions for better performance of fluid flow and heat transfer.

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