With a reassessment of 27 patients after a mean time span of 13 years, the investigation also has a considerable sample size and follow-up interval.
As our study has a considerable sample size, we also evaluated whether the ratio of monounsaturated over polyunsaturated of the 19 longevity lipids was associated with familial longevity.
The main limitation of the study is the loss to follow-up, with a considerable reduction in sample size during the study period, which limited sensitivity for detecting statistically significant changes.
The main advantage of this database is that it provides detailed information on household income and living conditions that is comparable across countries, jointly with considerable sample sizes that go from more than 3000 households in Iceland to almost 30,000 in Italy after all the data cleaning and processing work.
Samples with a considerable high ERG expression (48 samples; > 9.2) were labeled as fusion-positive, whereas tumor samples with low ERG expression (72 samples; < 8.0) were marked as fusion-negative.
Second, the effect size δ is manipulated at two levels: one with a considerable overlap of the sampling distributions, δ = 0.5 s = 0.02, and one with a small overlap δ = 2 s = 0.08.
Fourth, one specific vd-sRNAs of 21 nt was unusually abundant in the PC-C40 sample (it was also present in the GDS6 sample, but with a considerable lower frequency).
We have shown, using simulated samples and dilution series of cancer celllines, that MixHMM is significantly more accurate in detecting CNV in samples with a considerable proportion of stroma.
In a very recent publication, Sun et al. [19] have addressed the problem of stromal contamination, but the CNV assignment is inaccurate in tumor samples with a considerable proportion of normal stromal cells (see results).
This is particularly relevant since MVS analyses work best with low stochastic noise (hence relatively long sequences), diverse taxon sampling with a considerable proportion of taxa showing minimal convergent evolution, and minimal bias of the input distances from sources such as missing data.
