These were around 13% of all pregnancies, and so represent a relatively large proportion of the sample, which explains the relatively large bias.
The degradation products were particularly distinct in the necrotic sample, which explains the difference in the read size distribution between the two libraries.
Because there are very many potential types of deletions and much fewer clonal expansions per sample, only a small proportion of possible types of deletions are found in each sample, which explains why two samples typically have almost no deletions in common.
The average sizes of nuclei of patient samples were 60% larger than that of rat samples, which explains the difference in the run length values between two models.
Firstly, genes with top-ranked expression variations across samples, which explain most of the total variance potentially contributed by known or unknown factors (for example, the hidden cancer subtypes), were selected as "feature genes" in the initial gene selection as implemented in several previous studies [16,17].
Infiltration and high loading rate, however, affect nanoindentation measures by increasing the stiffness of the sample [37,38], which explains our relatively high, but not unreasonable values for mouse bone [36,39].
The instrument structure was strengthened with exploratory factor analysis, which explained 65% (sample of patients) or 57% (sample of nurses) of the variance in antecedents, 75% or 74% of the variance in activities, and 60% or 56% of the variance in the consequences of advocacy.
Samples S10-9SN and S16-4SR were different from the others since they were distantly separated from the other samples along the first principal coordinate which explained 93.7 % variations among all the samples.
We observe the splitting of the Raman G band as we tune the Fermi level of the sample, which is explained in terms of mixing of the Raman (Eg) and infrared (Eu) phonon modes, due to different doping in the two layers.
The mean ACR levels in the morbid group of the present study were twice as high as for the randomly chosen sample, which is explained by the presence of hypertension and diabetes.
