Sentence examples for predictions were previously from inspiring English sources

63.52% of our predictions were previously reported as potential ADRs in the OFFSIDES database, although they are not approved yet, corroborating the predictive power of our proposed method.

A positive result from LipoP overruled any eventual beta-barrel predictions, because LipoP predictions were previously shown to be highly specific [ 107, 117].

This conversion reflects the practice that liquefaction prediction is previously made on the basis of the N-value of a soil layer near a groundwater surface.

Evidence supporting this prediction was previously provided by crystallographic and binding analyses of QacR binding simultaneously to the two drugs Et and proflavine.

For instance, we predict three genes, YDR101C, YDR49C and YNL132W, to be involved in ribosomal subunit biogenesis (GO 0042273) and find that the same functional prediction was previously reported through different approaches by Chen and Xu (2004) and Joshi et al. (2004).

Category I includes miRNAs that match An. gambiae miRNA predictions that were previously reported in miRBase (category Ia) or [23], category Ib).

Impedance measurements were converted into an estimate of percentage fat-free mass (FFM) from prediction equations that were previously generated in this population with use of deuterium oxide dilution as the reference method.

Expression profiling data and computational predictions were used previously to gain a better understanding of the Gcm regulatory network (Egger et al. 2002; Freeman et al. 2003; Altenhein et al. 2006), but these approaches did not allow genome-wide identification of the direct targets.

The prediction of Porphyra miRNAs was conducted using criteria that were previously developed for plant miRNA prediction [21].

Indeed several methods for combining coevolutionary measures in structural predictions have been previously described and would be interesting to pursue in future studies [18], [19], [31].

Methods to derive tests and confidence intervals, fit statistics and (best-linear unbiased) predictions have been previously developed within the linear mixed models framework for the application in this setting, together with a description of the software implementation in the R package mvmeta[ 12].