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The most direct way to examine this is to look at the pattern of correlations between both: i.e. to compare tables 5 and 6.
If we compare Tables 4 and 6, we see that CheNER always outperforms the other two programs, when they are run in their "out of the box" version, meaning that the tool can be downloaded from the Internet http://metres.udl.cat/ and used as is in annotation pipelines.
Although differences in the quartz + feldspar and clay + mica content of the Shimanto and Boso samples do exist, no clear relation of the sample composition to high angles of internal friction can be found in our data (compare Tables 3 and 4).
Interestingly, R55W in 2C became dominant during the 25 additional passages in lineage V19 4A in which R55W was not present at passage 2 (compare Tables 1 and 2).
Results for correlations between fold change and mRNA length as well as G+C content are similar for the AKT activation dataset and the eIF4E overexpression dataset (compare Tables 1 and 2).
The AIC values of the JTT/WAG/LG-ML91+−0 are better for all the four matrices (JTT, WAG, cpREV, and mtREV) than those of the physico-chemical method EI-11; compare Tables 2 and 5.
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The names of the sites were chosen according to visual observations, compare Table 2.
CCD-sIgE negative patients are labeled and CCD-sIgE positive patients (compare Table 1).
Taken together, the results were in excellent agreement with previous publications (compare Table 1).
Considering the three non-trivial T-invariants given in Table 4, we find six ADT sets, compare Table 5.
But Clover and STAP generated quite different results on other factors (compare Table 1 and Table S5).
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