Sentence examples for distinguishing expected from inspiring English sources

Using a mixed dataset of 140 published proteins observed to induce or not induce immune responses, we demonstrated in an earlier study (Goodswen et al., 2013a) Vacceed's decision making potential by effectively distinguishing expected true from expected false vaccine candidates, with an average sensitivity and specificity of 0.97 and 0.98, respectively.

Then, an approach based on the excess hazard model should help distinguishing expected deaths (in line with the general population mortality) from excess deaths which may be directly or indirectly related to colon-cancer [ 7- 9].

Understanding baseline patterns in ED data provides the ability to distinguish expected versus unexpected events during infectious disease surveillance.

As a result, a threshold of 3 to 6% QFI clearly distinguished expected from artificially inflated variant populations and offered a benchmark to support accuracy in variant calling.

Other guidelines even explicitly distinguish expected discomforts from risks of harm and speak of "minimal risk" and "minimal burden" (the term "burden" referring to the expected discomforts) [ 3, 21].

We distinguish (expecting) attention proper from consequences of attention on stimulation and detection, whose correlates are the well known modulation of evoked and endogenous potentials, for instance.

Therefore, the function h with appropriate similarity matrix S computes score values that allow distinguishing among expected (i.e. biologically relevant) and ambiguous (e.g. source of noise) variability.

Since homeology could not be distinguished from over-representation of regions in the BAC libraries, contigs were labeled to distinguish their expected copy number.

Using a MCC, localized evoked CAP were also recorded but the signal to noise ratio (SNR) was too low to distinguish the expected associated impedance variation and deduce an image of impedance spatial changes within the nerve.

76– 79 The assumption, however, that the long-term involvement of patients as equal partners guarantees sustainable inclusion of the patient perspective in outcome research complicates a thorough evaluation and makes it difficult to distinguish between expected, perceived and actual contributions.

To test this theory in a case study, students must 1) calculate and understand the meaning of frequencies; 2) know how to plug numerical values in a formula and perform simple calculations; 3) distinguish between expected and observed results; and 4) know when a statistical test of significance is necessary to reject a "no-change" or null hypothesis model.