Sentence examples for predictions for multiple from inspiring English sources

In order to test the transferability of the prediction method to different MHC proteins, we trained the scoring method on binding data for DRB1*0101 and used it to make predictions for multiple MHC allotypes with distinct peptide binding specificities including representatives from the other human class II MHC loci, HLA-DP and HLA-DQ, as well as for two murine allotypes.

This approach significantly facilitates comparison of dose predictions for multiple compounds.

However, variable selection methods tend to be computationally intensive, feasible perhaps when considering a single pollutant but quickly becoming impractical when developing predictions for multiple pollutants.

Detailed instructions on applying our method to other organisms are included in Additional file 2. Many prediction programs are able to output predictions for multiple genomes.

If selenoprofiles is used on transcribed sequences (such as ESTs, cDNAs, or RNA sequences) instead of genomic sequences, it could potentially produce predictions for multiple splicing isoforms of selenoprotein genes.

These approaches are estimating error prediction for multiple linear regression analysis, two improved variants of support vector machines (SVM), and backpropagation neural network.

We also performed simulations using the integrated particle filter (IPF) and propagation of local undamped motion (PLUM) methods, which JMA plans to implement to address over-prediction for multiple simultaneous earthquakes and under-prediction for massive earthquakes with large rupture zones.

Our NanoFolder program provides secondary structure prediction for multiple RNAs with arbitrary pseudoknots and a general framework for the prediction of multistranded complexes, without limitations in terms of pseudoknot complexity.

The third one is our new approach of "estimation with error prediction" for multiple-linear regression.

The validation of this outcome prediction model for multiple trauma patients was completed by its comparison with the predictive ability of an international gold standard, namely the Trauma and Injury Severity Score (TRISS) score [ 74].

Step 1 Form the n-dimensional dataset E = {e 1, e 2, …, e n } of prediction errors for multiple forecast horizons or wind farms using the historical data.