Sentence examples for samples when predicting from inspiring English sources

Thus, it is useful to check both TF expression and target gene activity of each context to identify TF+ and TG+ samples when predicting TF-active biological contexts.

Here, we used cross validation to estimate the out-of-sample effect size when predicting the behaviour of individual subjects from structural brain changes.

A key example of this is the performance of both sets of markers when predicting Finnish samples; AIMs predict no samples correctly, even at larger numbers of markers.

In other words, the insignificant impact of a genomic AD for complex endpoints does not negate the importance of considering clinical parameters when predicting independent validation samples.

Smaller standard errors of the parameter estimates (Table 1) indicate that the model is more efficient when predicting outside the sample.

When predicting for test/new sample, the appropriate (nearest) cluster is first found, and the regression model corresponding to that cluster maps the test sample to wind power.

Smaller standard errors of the parameter estimates (Table  1) indicate that the model is more efficient when predicting outside the sample.

The formulae derived will help researchers determine an appropriate sample size to attain a certain accuracy when predicting genetic risk.

High "migrators", judged to have been caused by any of these factors, would not be considered when predicting the population failure rate from the RSA sample failure rate.

Primary outcome measures were percentage of diagnostic agreement, sensitivity, specificity, and Cohen's kappa when predicting diagnostic group membership, and the correlation between predicted and actual values for change in depressive symptoms (i.e., the models predicted pre-post difference scores, then standardized to sample z-scores for visualization).

Experience sampling procedures are an adequate approach to distinguish between personal and situational effects and account for interactions on different levels when predicting emotional experiences in situ.