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Since the initial and reacted sandstone samples for geochemical analysis were taken from different regions of the cylindrical sample, differences in the composition are possible that this is not related to the experimental procedure and originate from natural heterogeneities (Additional file 1).
A 'polymer microstructure plot' is created from the combined overlays of triple-detector GPC TREF chromatograms to provide a quick view of detecting subtle sample differences in polymer MW, MWD, SCB or LCB.
Because usual approaches do not provide a significance test for whether the rate of additive change varies across levels of a between-person factor, sample differences in the rate of additive change may be due to sampling error.
Lastly, when considered jointly, we observed between sample differences in the genotype frequencies within racial and ethnic populations.
The large interindividual sample differences in drug sensitivity that we observed clearly point to the potential for IPC individualization.
*Independent sample t-test and †chi-square test were used to test for sample differences in continuous and categorical variables, respectively.
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Apparent replication "failures" using approach (1) could thus relate to sample-to-sample differences in fine patterns of linkage disequilibrium and/or different amounts of information provided by markers with population-specific differences in allele frequencies.
Fundamentally, Hydra-Multi differs from Hydra by accounting for the intra- and inter-sample differences in the size and variance of fragments observed among DNA libraries, thus enabling Hydra-Multi to infer which read-pairs from different samples corroborate the same SV despite variability in the absolute mapping distances.
The mRNA expression levels of HPRT were also measured in all samples to normalise the gene expression levels to avoid sample-to-sample differences in RNA input, RNA quality and reverse transcription efficiency.
We therefore concluded that the choice of the database did not affect observations of inter-samples differences in annotated gene content.
Reliability was generally high, providing support for using gyrification and fractal dimensionality measures to evaluate inter-individual or between-sample differences in morphology.
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