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We categorized these two variables into tertiles, low, medium, or high.
We categorized these two sets of local interaction strategies as the 'common pattern' and the 'positive pattern' and summarize the results in two models of local interaction.
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We categorized these four explanatory variables by their quartiles.
We also categorized these three groups of interactions according to which atoms of the residue (side chain and/or main chain) contact the antigen.
Based on the type of information used in the index, we categorized these three indices into three different types: (i) statistic index, (ii) clustering index and (iii) differentially expressed genes index.
We attempted to categorize these eight genes based on all the in silico and in vitro data, and relate them to potential functions in reproduction (Table 4).
We then evaluated the relative expression levels of E. fischeriana transcripts as described in methods and categorized these into three expression ranges 1-125, 125-250 and more than 250 mean coverage expression level.
Consequently, we also categorized these scores into three to six subgroups according to the distributions and used ordinal logistic regression models for these ordinal responses.
The IPCC has categorized these approaches into three levels of increasing data requirements and analytical complexity called 'Tiers' [6].
It has categorized these influencers into three (hence Triple) institutional strands within the social context of university-industry-government relations (Etzkowitz and Leydesdorff 1995; Etzkowitz and Leydesdorff 2000).
We categorized these factors into three sub-groups: personal, community-related and service-related.
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CEO of Professional Science Editing for Scientists @ prosciediting.com