Sentence examples for generality of predictions from inspiring English sources

For this purpose, we measure recall of genes, rather than gene pairs, in order to assess the generality of predictions across the entire genome.

To test the applicability and generality of our predictions, we have perfomed new experimental measurements of germline heteroplasmy variance in these model animals under a consistent experimental protocol (see 'Materials and methods').

One novel aspect of our study, not addressed by these previous studies, is a demonstration of the generality of the prediction method by applying it to a wide variety of MHC allotypes with distinct peptide binding specificities.

The particular allotypes used for testing were chosen for two reasons: (1) adequate peptide binding data was available for evaluating the prediction results and (2) they have very different peptide binding specificities so that the results reflect the generality of the prediction method for multiple MHC allotypes.

We tested the generality of this prediction using a simple, but realistic genetic model.

Nevertheless, the validity and generality of this prediction requires experimental verification.

To test the generality of this prediction, we estimated families of homologous genes for eleven bacterial and eukaryotic organisms based on a BLAST [ 29] sequence similarity search (E-value < 1.0e-10 1.0e-10ompandd survival upon knocomparedO) or knockdown (KD) of genesurvivalhese gene families to suponval upon knockout singletons (Table 1).

Below, we test the generality of these two predictions by comparing the spatial and metabolic clustering of horizontally transferred genes to that of randomly chosen genes across 21 closely related γ-proteobacteria.

3) The combination of causal covariates and monotonicity constraint improves the generality of the model in predictions.

6) The causality and generality of the model for prediction purposes is improved by use of causal site variables like sum of daily mean temperature during vegetation period and index of aridity.  .

The results from these two other applications further emphasize the generality of our framework for various predictions tasks using mobile phone metadata.