Your English writing platform
Discover LudwigSimilar(60)
In our analysis of postoperative decreases in metabolism, three clusters were significant at p<0.001, with correction for multiple comparisons.
Four correlations were found with uncorrected p less than.05 (two FA and two λ⊥ clusters; no clusters were significant after correction for false discovery rate).
Analysis of the correspondence of p53 LOF mutations with the C-L and A-L clusters was significant (p = 0.006 by Fisher's Exact Test).
18 of 30 age comparisons between clusters were significant.
No voxels or clusters were significant after the FDR correction was applied (p>0.05).
No voxels or clusters were significant after a multiple comparison correction was applied (p>0.05).
Note from Additional file 6 that variability among genotypes in clusters was significant.
A multivariate logistic regression model revealed that the euglycemia and hypoglycemia clusters were significant independent variables.
Both matching clusters were significant for the WC method because each concept contains a slightly different set of member pathways.
When we studied postoperative increases in metabolism, two clusters were significant at level P < 0.005, with multiple comparison correction.
From these clusters (see Supplementary Table S7), we find that, using our scoring function, only 327 (57.1%) i-ADHoRe clusters are significant.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com