Sentence examples for methods the substantial from inspiring English sources

Exact(1)

This lack of phylogenetic coherence could be due to the imperfect detection of phagosomal proteins with the applied proteomics methods, the substantial variability of the phagocytosis machinery or, most likely, by a combination of both these factors.

Similar(59)

The truncated-protomer systems were used to re-evaluate the most likely protonation state of selected side-chains using the free-energy perturbation (FEP) method; the substantial computational cost of this methodology is what motivated the truncation of the protein.

This value of a generates even stronger selection bias than a=1.5, see Figure 2. In line with earlier findings, the power was increased for both methods with the substantial publication bias, and the adjusted test still gave the best Type II error rates.

Also, this method afforded the substantial excitation laser power, as the photo-degraded molecules/NPs in the flow were quickly replenished.

One of the principal advantages of the HHP method is the substantial increase in shelf-life and improvement of food safety due to the inactivation affected in the microbial population [ 1, 5].

The identification of orthologous sequences and phylogenetic reconstruction demonstrates the feasibility of these methods for clarifying the substantial uncertainties in the existing scleractinian phylogeny.

The high degree of correlation between the two methods, together with the substantial or excellent reliability found, comfirm that this system provides an accurate tool for measuring existing and new dental phenotypes.

A distance matrix was prepared and a robust phylogeny was inferred by both split decomposition analysis and neighbor-joining methods that highlighted the substantial nucleotide differences between ST203 and ST17 isolates.

Several results confirm the accuracy of the POD-NN method and show the substantial speed-up enabled at the online stage as compared to a traditional RB strategy.

In addition, computer simulations investigating the performance of methods in detecting selective loci under divergent selection with markers such as AFLPs shows that, despite the methods having substantial uncertainty, the average distance between detected outlier markers and true selective loci ranges between 7 and 18 cM [ 68], in agreement with empirical observations.

Several authors have noted the large-scale variability between CNV-detection methods, as well as the substantial false positive and false negative rates associated with those methods.

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