Sentence examples for strong prediction for from inspiring English sources

Computing the difference between these two, we recorded the nominal effect of each substitution as a single score D, with D ranging from −100 (strong prediction for neutral) to +100 (strong prediction for nonneutral).

Finally, TargetP shows a strong prediction for a mitochondrial localisation, but targeting signals are often non-conserved in Trypanosomatids [[ 18]; our unpublished data].

It is, however, surprising that the 'purest' spatial parameter (parameter 8: area coordinates, which expresses the proximity between areas) did not result in a strong prediction for connectivity, as spatial distance has been previously put forward as an important factor in primate cortical connectivity [ 10].

Of this group of 43 genes encoding translocation signals, the predicted proteins encoded by eight showed strong predictions for coiled-coil regions, as well as one having ankyrin repeats (Table 1).

for example, analysts are making strong predictions for another variety of dsl: symmetrical dsl (sdsl).

Strong predictions for 29 of the 34 test samples with 100% accuracy were achieved.

These families are the most conserved in terms of protein sequence and domain architecture and generally have strong predictions for N-myristoylation and palmitoylation.

Although the magnitude spectrum did not provide strong predictions for a given test sound (the mean-squared difference between the magnitude spectrum of the test sound and each training sound was similar), the stimulus roughness provided strong predictions e.g. in favour of the training-sound of subject one.

Specific combinations of biomarkers at baseline demonstrated a stronger prediction for clinical efficacy than CRP alone.

It is conceivable that the bats did not rely on a single sound parameter but on different parameters depending on which parameter yielded the strongest predictions for a given comparison of a test sound with the three training sounds.

To reduce the number of variables to be entered into one overall regression analysis to produce the final model predicting QoL-AD scores, the following method was adopted, which maximised the potential for a strong prediction by selecting the most predictive variables from each domain, and allowed identification of the domains which appeared most relevant to QoL-AD scores.