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Values for 'available carbohydrates' in the database were calculated from the amount of total carbohydrates calculated 'by difference' after subtraction of dietary fibre content.
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The distance from the example to all the other samples in the database was calculated, thus the total number of distance calculations in test was, where is the number of samples in the database.
According to the cosine similarity function, the similarity between measured vector and sample i in the database is calculated as f 1 i = ∑ n = 1 N cos Φ ˜ n − Φ n i (10).
Ka and Ks rates given in the database are calculated using the method of Nei and Gojobori [ 36].
Expression similarity for ST14 in relation to all other genes in the database was calculated using Pearson's correlation coefficient and ranked.
To identify biologically relevant matches, length of the segment of a query sequence aligned with the matching target in the database was calculated as per cent of the query length as well as the alignment length in bases.
Coordinates within this database were calculated using a variety of methods including aerial photography, global positioning systems, address matching, 1990 census block and ZIP code centroids.
Using the matching scores and the stolen biohashes, local binary biohashes corresponding to the local face database were calculated, which were used for iterative perceptron learning to estimate the projection parameters.
The similarity scores (Basic Local Alignment Search Tool [BLAST] bit scores) (Altschul et al. 1997) for all the CRP/FNR-type proteins obtained from the KEGG Orthology database were calculated based on a round-robin BLASTP (BLAST 2.2.25+) analysis (Camacho et al. 2009) with a cutoff at E value ≤ 1e 5.
CBDMQN for SB molecules with less than 17 heavy atoms (HAC ≤ 17) and their nearest neighbor in the GDB-17 database were calculated, giving rise to distance (d) values between d = 2 and d = 11.
Gene expression levels based on the analysis of EST database were calculated for 57 different human tissues.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com