Sentence examples for methods is slight from inspiring English sources

That said, the differences between the different aggregation methods is slight.

The true spinal derotation during AIS surgery even with DVD methods is slight and possible to assess precisely only when CT evaluation is used.

Differences between the MDA methods were slight, particularly in light of the aforementioned reversal in bias rank in the C. jejuni 10 base bin analysis.

As noted in Table  2, although there was significant evidence for a correlation between ILA defined by visual assessment and those having ≥10%% of the lung occupied by HAAs (P = 0.03), the agreement between methods was slight (Kappa = 0.03).

As noted in Table  2, and comparable to our findings in COPDGene, although there was significant evidence for a correlation between ILA defined by visual assessment and those having ≥10%% of the lung occupied by HAAs (P = <0.0001), the agreement between methods was slight (Kappa = 0.11).

A summary of the 100 test runs shows that the difference between MDR and FMDR was statistically significant for 3- and 6-loci, but the average difference between the two methods is very slight, i.e., −0.011 at 3-loci and 0.002 at 6-loci.

Thus, the dependence of our method on this parameter is slight, especially when the value of α is above 0.5.

Tristano was born digital, and while the practical difference in its method may be slight, it best reflects the way we read today: across blogs and newspaper sites, down comment threads and through links, following a path co-created by the eye and the algorithms that place different texts before us at every moment.

While the gene indices were build using the same principal method, there are slight variations in the chosen assembly parameters for each of the four databases they originate from, namely The Institute for Genomic Research TIGRR) [ 33, 34], Plant Genome Database (PlantGDB) [ 35, 36], COSMOSS [ 9, 37] and New York Plant Genomics Consortium (NYPG) [ 38- 40].

In addition, beginners in the field may be left with the idea that the success of the application methods is associated with slight variations (if not black magic) in the production method.

The differences between single and multi sample variant identification methods were generally slight in terms of number of SNVs and Ti/Tv ratios, and depended on software.