Sentence examples for predictions one for from inspiring English sources

Our method for this dataset generates 210 predictions as the 'top 1' DTI predictions (one for each drug).

Thus our model has two different predictions, one for seeds and one for pollen.

Contrasting these two examples of high support for the predictions, one is due to the diverse number of species that support the prediction and the other due to the number of interologues within a single species that support the prediction.

Using a 50 50 split sample analysis approach, we calculated two multivariate prediction models: one for factors being present on hospital admission only, and one with all factors on admission and during hospital stay (Table 3).

Furthermore, the use of two simple prediction methods (one for homogeneous and the other for clustered neuron distributions) permits satisfactory predictions about the variation of presumably any estimates of total numbers of neurons obtained using the fractionator.

We derived two clinical prediction models: one for all wrist fractures (distal ulna, distal radius and carpal bone) and one for distal radius fractures only.

QCancer (Colorectal) are a pair of multivariable prediction models (one for men and one for women) that have recently been developed to predict the risk of having undiagnosed colorectal cancer (Hippisley-Cox and Coupland, 2012).

Based on the SNP classification and interactive prioritization, a user can compute the functional impact of multiple SNPs using two prediction tools, one for differential analysis of transcription factor binding (sTRAP) and another for SNPs with potential impact on binding of miRNAs (MicroSNiPer).

If the variable was important for model prediction one would expect replacing it with a constant to have a detrimental effect on the comparison between observations and predictions.

For a prediction in the testing phase, features derived from both z-profiles are used and two predictions are made, one for each profile.

Thiswork ispart of a methodology and set of tools being developed to increase the accuracy of yield predictions for one- and two-axis-tracking photovoltaic plants.