Sentence examples for methods generated significantly from inspiring English sources

We compared the predicted ER status based on thresholding for ESR1 expression value to the annotated ER status based on IHC for the ten data sets and found that the two methods generated significantly concordant classification of ER status (90.7%, Fisher exact test P<2.20E-16, Table 2).

While both methods generate significantly better alignments than MUSCLE at all sequence similarities of SCOPPI families, CMAPi performs better than both MAPPIS and MUSCLE when sequence similarity is below 75%.

Experimental results confirm that our method generates significantly better alignments and threading results than the best profile-based methods on several large benchmarks.

While Mr. Rainey was publicly repeating BP's stated estimate of 5,000 barrels of oil a day, the company's engineering teams were using sophisticated methods that generated significantly higher estimates.

CNAT.total and CBS are conservative methods that generate significantly fewer regions than CNAT.allelic and GMM.

Overall, this set of experiments demonstrate that it is possible to obtain crystals (rcHZ) that resemble those found in nature and which can be generated significantly faster than other preparations (scHZ) by performing the aqueous acid-catalyzed method reported here.

Of the MDA methods, Repli-G generated 3 to 4-fold more amplified DNA, but introduced marginally more bias than GenomiPhi, and generated significantly lower genome coverage when amplifying Halobacterium species NRC-1.

Contracts for these services often generated significantly more revenue than advising on executive pay.

Third, the model building procedures can be compared to determine what combinations of learning techniques and feature mapping methods that are able to generate significantly effective models on the data under study.

Experimental results show that CNFpred generates significantly better alignments than the best profile-based and threading methods on several public (but small) benchmarks as well as our own large dataset.

This would generate significantly more fan and news media interest.