Sentence examples for due to consistent differences from inspiring English sources

Exact(2)

The errors were distributed across all multiplex sets, making it difficult to identify the reasons for these anomalies, but suggesting that they were not due to consistent differences between the quality or reliability of the multiplexes.

Due to consistent differences in the relationships of obesity measures with cIMT and carotid artery plaque between African black and Caucasian women with RA (see below), the respective measures were not associated with atherosclerosis upon analysis of the data in all patients or African black and Caucasian women combined.

Similar(58)

The consistent spatial variation in growth, with fastest growth realized in the central region, regardless of time, may have been partially due to consistent salinity differences among estuary regions.

The increased distinguishability of these two genera may be due to consistent compositional differences in these two families of mobile genetic elements.

By focusing on differences that were consistent between the tropical species and each of the temperate latitude species, any differences in gene expression and sequence evolution are more likely due to consistent life history differences between the two groups rather than phylogenetic divergence.

Low fractions of antagonistic QTL in interspecific crosses suggest that phenotypic differences between species are likely due to consistent directional selection, whereas consistent directional selection is less common in intraspecific differentiation [ 4].

**p < 0.01 versus hypoxia-treated cells; n = 2 due to consistent datasets.

In contrast, species ranking in LDMC and plant height was also consistent, probably due to great differences in trait values between species buffering against the differential effects of resource availability dependent on functional group identity or growth statures.

Due to the limited number of RA patients who were investigated, we were unable to find consistent differences between the various treatment strategies regarding HDL subfraction levels.

Various motif finding software programs typically yield candidate cis elements not entirely consistent with each other due to the differences in their underlying statistical algorithms.

Heritabilities less than 1 for the DGV obtained by K-means clustering and cross-validation show that the estimated marker effects were not consistent between training sets due to the differences in relatedness between the training and validation groups when five separate models were used to estimate the DGV of animals in each group.

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