Sentence examples for alignment of predictions from inspiring English sources

The phrase "alignment of predictions" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or forecasting, where you discuss how closely predictions match actual outcomes.
Example: "The alignment of predictions with actual results is crucial for improving our forecasting models."
Alternatives: "congruence of forecasts" or "correspondence of predictions".

Exact(2)

All automatic annotations distributed in the CHEMDNER silver corpus were in a common format, enabling direct comparison and alignment of predictions.

He explained that no single model can attain all of these goals, but that the alignment of predictions from sets of diverse models will provide robust theorems in population biology.

Similar(58)

For this, all amino acids that were captured into a BLAT alignment of prediction and annotation were counted as true positives.

A multiple alignment of these predictions readily identified exceptions to the predominant protein structure, largely a result of fusions to adjacent genes or missing exons.

In a detailed alignment of structural predictions, all maize PSTOL-like proteins shared conserved ATP-binding and serine/threonine protein kinase domains with OsPSTOL1 (Additional file 3: Figure S2).

For online soft sensing application, the Bayes rule is introduced for soft alignment of local prediction results.

Here, 30 low-level similarity measures (features) are derived that are based on local alignments of DNA-binding domains, flanking regions of DNA-binding domains, the alignment of secondary structure predictions and taxonomic distances.

Alignment of secondary structure predictions based on amino acid sequence [23], [24] for this protein indicate a high degree of symmetry around an alpha-helix structure (Fig. S1), similar to the secondary structure of the protein Calmodulin, which binds many protein targets and is involved in multiple cell functions.

Based on the presence or absence of alignment, a prediction of misassembly is made.

The procedure described is an effort in decomposition and parallelization of sequence alignment in prediction of a volume of genomic sequence data, which cannot be processed using sequential programming methods.

To test for possible overlap between gene predictions obtained in this study and all canine genes annotated in Ensembl (v42), we performed sequence alignment between these two sets of predictions.

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