Sentence examples for summary of predictions from inspiring English sources

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A summary of predictions in D. melanogaster suggests that there are 7,329 non-overlapping ORC recognition sites with a maximum distance between ORC sites of 447 kbp in the genome that are potential origins of replication [ 39] (http://flypush.imgen.bcm.tmc.edu/pscreen/files/ORCsitenames.xls).xls

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Table 5 provides a summary of prediction and estimation error analogous to Table 4.

In order to explore post-GWAS risk prediction, we first discuss the relative merits of different statistical summaries of prediction.

The FSD's user-friendly interface provides summaries of prediction results and diverse web-based analysis functions through Favorite, a personalized repository.

A summary of these predictions is given in Table 1, whereas more detailed data about site prediction, including information about operon structure changes, are shown in additional files 1 and 2. One of the most significant results was the identification of conserved candidate sites upstream of the atpIBEFHAGCD operon.

Include a brief summary of your predictions for the nation's economy over the next five years.

A summary of the predictions based on ANOLEA and their associated p-values is presented in Table 3.

We included these regulators, as well as other essential factors such as steroids, IL-6, TMPα, heme, insulin, leptin, ALAS1, in dashed boxes in the graphical summary of our predictions (Figure 6).

A summary of our predictions of disease-impaired regeneration characteristics is available in Table  4.

Panel A shows three independent information, that are summary of our predictions ("microarray" in the panel), information from Plant Promoter Database (ppdb), and functional analysis.

However, checking the reliability of the detection in secretome analysis is tightly depending on these tools, and therefore a secretory feature section is included in the results page for each protein query in order to give a summary of the predictions on signal peptide, transmembrane domain and nonclassical secretion signals using the most frequently used bioinformatics tools.

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