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In order to maximize the number of patients in our correlations we used pairwise deletion of missing data resulting in variable numbers of patients ranging from 12 to 17 on which correlations were based.
We have also provided labeled photographs for measured sections of previous researchers we used in our correlations, with their units identified to the best of our ability.
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Individual sub-topic ratings from each evaluation (see Appendix) were also used both in our correlation studies and classification-algorithm development.
Binary traits were treated as continuous in our correlation analyses and results should be interpreted as relative proportions.
Because the personality questionnaires from one subject were incomplete, only 15 subjects (n = 15) were included in our correlation analysis with these measures.
Despite their positive correlation coefficients, none of the antimitotic standard anticancer agents show correlation coefficient greater than 0.5, suggesting that the nine compounds identified in our correlation analysis may be uniquely selective against the most tumorigenic cell lines.
Second, cofactors that were not included in our correlation analysis may play a relevant role.
The other 2 trials IPASS [23] and First-signal [24] were included in our correlation analysis.
The eventually acquired candidate CD33rSiglecs in each species were considered as true orthologs and used in our correlation analysis.
In our correlation analysis, the mtDNA copy number was even reversely related to the ATP content (data not shown).
Of these trials, 4 were not included in our correlation analysis because the patients were selected according to molecular status (positive for EGFR mutation) [19]– [19].
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