Exact(3)
"microRNA methylation" indicates whether the data predicts significantly higher ("hypermethylated") or lower ("hypomethylated") methylation levels in the abuse group.
The data predicts that nerve injury in infancy and childhood could go unnoticed at the time, but emerge as clinically 'unexplained' or 'functional' pain in adolescence.
Below 10 µg/dl, a pooled analysis using a log-linear model shows that the function that best describes the data predicts a 9.2 point decline in IQ over the range of <1 to 30 µg/dl; with two thirds of the decline predicted to occur in the range of <1 to 9.9 µg/dl.
Similar(57)
In this paper, we utilize the data predicted by miRanda algorithm [41], [47], which include the target predictions for 211 of known miRNAs in human.
The World Obesity Federation, which compiled the data, predicted that number would rise to 4.1 million by 2025.
In all cases, the data predicted by the network were experimentally confirmed.
R2 of 0.9743 confirmed that the data predicted by RSM well agree with the experimental results.
The experimental data and the data predicted by the ANN model have been used to estimate the rate constants of a kinetic model.
In current research, both Mamdani and Sugino model were investigated and no distinctive difference was observed between the data predicted by these two models.
Good accordance of the data predicted by model and the empirically obtained data was confirmed by calculated standard deviation (SD) for each experimentally monitored parameter.
The high correlation coefficient (R2 = 0.9883) for the second-order polynomial model, showed that the data predicted using RSM were in good agreement with the experimental results.
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