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According to the results obtained in our study, we suggest analysis of at least n = 43 pooled samples per condition in order to achieve a 10−06 significance level and 95%% statistical power, considering a Cohen's d effect size =1.5.
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However, we suggested analysis of 0.5 1 million tags per a sample as routine studies, since 20 30 thousands of unique non-singleton tags could be identified in this scale of analysis, which were expected to cover most of expressed genes in eukaryotes.
Because this question is still unresolved, we suggest an analysis of existing cohort study datasets, taking into account the measurement and analysis issues raised above.
We performed the suggested analysis.
As a result, we suggest that analysis should be done by modeler producing counter examples as seriously as the formal specification of a system is described.
We suggest further analysis should be made using measurements of GIC across the UK in key nodes when they become available.
We suggest that analysis of Φ-values should also consider the direct impact of mutations on differences in free energy between the unfolded and TS (ΔΔGU-‡) to ensure that the description of TS properties is accurate.
We suggest lacunarity analysis may find utility in melanocytic lesion assessment as either part of an artificial neural-network reduced parameter set or as a stand-alone measure.
We suggest that analysis of other genes involved in the establishment of DNA methylation at imprinted genes, such as DNMT3A and DNMT3L, may provide insight into the genetic cause of hypomethylation in SRS patients.
We suggest that analysis of the NDUFA4 gene should be considered in all patients with unexplained COX deficiency.
We suggest that analysis should begin with less than ten references, and then the non-informative ones should be removed to improve the resolution.
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