Sentence examples for generate predictor from inspiring English sources

These ratings are convolved with a canonical hemodynamic response function to generate predictor waveforms with which related brain activity can be identified.

To generate predictor variables, we permuted the real HLA alleles to ensure the data were IID.

LUR models were developed to generate predictor variables that best estimate BTEX concentrations.

We used a RW model of associative learning to generate predictors of learning-dependent changes in brain activity (as indexed by the BOLD signal) and inter-regional connectivity over time.

In order to generate predictors for the multiple regression analyses, the event time series for each condition were convolved with a delayed gamma function (delta = 2.5 s; tau = 1.25 s).

To generate predictors for the multiple regression analyses, the event time series for each of the four experimental conditions were convolved with a delayed gamma function (delta = 2.5 s; tau = 1.25 s).

This is strongly illustrated by the cDNA predictors, which have few probes in common with the arrays used to generate the predictor gene list, but still classify the ALL samples with high sensitivity, specificity and accuracy.

In this article, we integrated and leveraged information from different sources, such as chemical similarity, targets and adverse drug effects (ADEs), to generate a predictor to identify drug-targets, target-adverse effects, and drug-adverse effects associations.

With the Gaussian vector space kernel, we can apply a kernel-based method to generate a predictor of any one of several biological activities, for example: ADMET properties or affinity of ligands used as therapeutic agents.

Rather than using standard leave-one-out cross-validation where in each iteration, a different (positive or negative) learning example is not used to generate the predictor, we only left out positive examples.

The disadvantage of regression analysis and similar approaches for predicting molecular efficiency are weight values assigned to each input variable to generate the predictor of siRNA efficiency in the output.