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In both datasets, there was a statistically significant difference between the normal/benign and the melanoma groups.
For both datasets there was significant concordance between array identification and PCR validation.
Across both datasets there was no evidence of any interaction between HRT and MUTYH genotype (Supplementary Table 6).
In both datasets, there was a higher proportion of ER+ tumor samples in the postM group compared to the preM group (TCGA: 62 % postM and 14%% preM; METABRIC: 72 % postM and 12 % preM) (Additional file 13: Figure S1).
For both datasets, there was a significant difference in the mean intrinsic curvature skew per region, with regions of high lGI demonstrating more skew than the rest of the cortex (group 1 intrinsic curvature F1,192 = 81, P < 0.0001; group 2 intrinsic curvature F1,174 = 99, P < 0.0001).
Similar(55)
In both datasets, there were more than 8% of children in the 4th wealth quintile, and more than 5% in every category of maternal and paternal education.
In both datasets, there were too few samples to allow comparison.
While boys and girls show virtually congruent curves in both datasets, there is a higher probability of having a BR D in dataset 2 compared with dataset 1 (Fig. 2 D and Supplementary Table 3 D ).
The derived CM funding model for adults with DSL differentiates resource intensity across 9 main groups and in both datasets there is evidence that these CM groups appropriately identify clients based on need for formal and informal support.
For every illustrative datasets, there was at least one 2-parameter symmetrical model which improved both likelihood and goodness-of-fit relative to the logistic (scaled logit) model.
In 74% of simulated datasets, there was no significant difference between the original and shuffled distributions.
More suggestions(16)
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