Sentence examples for predictions offer a from inspiring English sources
Given that numerous published genetic tests are in agreement with the pathway predictions, the remaining cell signaling pathway predictions offer a large number of testable hypotheses.
The analytical predictions offer an immediate insight into how fluid pulsation affects phase shift, which is a quantity measured by CFMs to estimate the mass flow, and lead to hypotheses for more complex geometries, i.e. industrial CFMs.
CALINE4 predictions accounted for key factors that determine exposure, such as wind speed and direction, and the CHS ICV study predictions offered a further refinement of the exposure surface.
This prediction offers a new look into a key open question in plant mating systems, namely why pure asexuals are exceptionally rare.
Compared to laborious and time-consuming trial-and error experiments, computational prediction offers a fast way of obtaining candidate genes and positions for experimental validation.
Although this prediction offers a route to differentiate between Models I and II, it may prove difficult to distinguish a labeled patch close to the injection site from the local axonal arbors of labeled cells.
In conclusion, we propose that statistically-based spatial prediction offers an opportunity for characterizing geodiversity of a large area in a systematic, repeatable, and spatially exhaustive manner.
Consequently, re-visiting the epigenetic definition of CGIs and providing an experimentally defined CGI catalog that overcomes the limitations of computational predictions will offer a tremendous resource for advancing our knowledge.
Until such experimental confirmation for all gene models exists, the comparison of different predictions may offer a good starting point for judging the reliability of the annotated and alternative gene structures.
The results are compared with the numerical predictions offered by a finite element analysis (FEA) as well as those associated with an analytical model.
The increasing success of drug synergy prediction methods offer a means toward designing rational drug combinations.
