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In addition, when the scientists reanalyzed the Tai data using their statistical methods, they were able to match the infants to likely fathers in the Tai troop.
Using their methods they were able to achieve a higher correlation to the actual CDCpercentt of visits ILI-related compared to the Twitter data alone for the 33 week period in 2010-2011, yethehe authors do mention that Twitter data alone would still predict higher toward the beginning and end of the annual flu season (and, of course, during an epidemic).
They analysed the data using several different methods, and by focusing on the regions that were highlighted by multiple methods, they were able to narrow down their list of candidate regions.
Aerts et al. (21) reported that by using text-mining methods, they were able to prioritize some 30 000 papers containing unannotated cis-regulatory information within PubMed (out of millions of articles).
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The authors show that using these methods, they are able to predict the time when no more people will join the event up to 43 minutes in advance.
Most importantly, although the structure-based approach cannot attain the level of accuracy of the best sequence-based methods, they are able to predict epitopes for MHC allotypes remotely related to allotypes with experimental binding data.
With this method, they were able to reach a mass resolution of m/Δ m≈90 [21].
They observed that using the co-training semi-supervised method, they were able to obtain an F-Score of.609, which was higher than the 0.583 they obtained when not including any unlabeled data.
The authors found that by using their method they were able to get a classifying efficiency of 0.94 when using 75% of the mixed feature subset and when only using 10% of the mixed features could still get a reliable efficiency of 0.75.
By using this novel method, they were able to determine simultaneously the absolute protein expression levels of multiple membrane transporters in mouse brain capillary endothelial cells.
Through this method they were able to test and identify several SNPs without compromising database size, redundancy and reliability of the results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com