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A key challenge when developing a database modelling method is heterogeneity, as the available tools and features that the new method can exploit are different between each database provider.
To determine the similarity of each dataset to each other, total nucleic acids between each database and total partial ORFs (pORFs) between each database were compared to provide an indication of the number of homologous sequences shared between each pair of datasets (Table S3).
EON [ 11] calculates the Electrostatic Tanimoto between each database molecule and the query (ROCS overlay hits).
The number of differences between each database string and the query string is computed and database profiles exceeding d differences are excluded from the search.
Similar(55)
Score similarity between DSSM and each database vector as follows: S vector) = ∑ s kj, where s kj is the score of value k at vector coordinate j.
The similarity between the example and each database signal is estimated by calculating a distance measure between their GMMs or HMMs, and the signals having the smallest distance are retrieved as similar to example signal.
Nevertheless, the difference between the results for each database is relatively low.
These differences in citations between research types within each database were statistically significant for GS and Scopus (p=0.0216 and p=0.0268 respectively), but not for WoS (p=0.1312).
Descriptive statistics showed ADFI, ADG, final BW and FCR varied between each ingredient database (Table 1).
Importantly, no databases were found that included both consumption levels and concentration levels, and we encountered difficulties in matching the foods listed between each different database [ 34].
Similarity between each reference molecule and each database molecule was computed and the similarity results were ranked in decreasing order of ICM similarity score [29].
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