Sentence examples for variations to predict from inspiring English sources

The widespread availability of high-throughput genotyping technology has opened the door to the era of personal genetics, which brings to consumers the promise of using genetic variations to predict individual susceptibility to common diseases.

If the metabolic rate varies considerably (for example, during shivering, fever, and so on), the observed changes in PETCO2 could not be attributed solely to modifications in CO and thus the ability of PETCO2 variations to predict fluid responsiveness could be diminished.

Some researchers have also turned to natural variation to predict climate's effects on autumn, comparing trees on high, cool slopes to the same species lower down.

To assess the ability of pulse pressure variation to predict fluid responsiveness in mechanically ventilated elderly patients after coronary artery bypass graft surgery.

In our proposed routing protocol, we use the received signal variation to predict the transmission bandwidth and the lifetime of a link.

The aim of this study was to evaluate the ability of pulse-pressure variation to predict fluid responsiveness during heart displacement for off-pump coronary artery bypass surgery using receiver operating characteristic analysis.

We show that parental information on brood need varies systematically through the nestling period and use this variation to predict parental responses to an experimental increase in partner work-rate via playback of extra chick begging calls.

Both extension and flexion gaps showed too wide a variation to predict before operations.

Researchers will use these blocks to build regulatory codes that will better explain the biological role of each piece of the genome so that we can use genetic variation to predict and treat disease.

In this issue, a trial investigates the value of pulse pressure variation to predict fluid responsiveness in a large series of patients with ARDS ventilated according to current guidelines.

Given the limitations and the relatively low-throughput of the PEM strategy, computational algorithms have been developed that benefit from the interplay between structural and nucleotide variation to predict inversions in multiple individuals and/or estimate inversion genotypes [ 40 45].