Sentence examples for sample predicted from from inspiring English sources

Exact(1)

Young's modulus of a specific CT-scanned macroporous scaffold sample, predicted from a Finite Element simulation of a uniaxial compression test, agrees well with the experimental value obtained from an ultrasonic test on the same sample.

Similar(59)

Table 3 shows that, in the female sample, predicted values derived from Moyers' charts at the 75th percentile levels and those calculated by Tanaka and Johnston's equations tended to overestimate the actual sum of the upper and lower permanent canines and premolars.

The efficiency of the amplification was determined from the slope of the least squares fit for each polymerase, and the amount of (E. coli equivalent) rDNA in the zero DNA sample was predicted from the fit equation for each set of serial dilutions.

The frequency of slow acetylators in each population sample was predicted from individuals' NAT2 genotypes (i.e., diplotypes).

Triple-negative samples were predicted from the annotated ER-negative samples using the subtyping tool, TNBCtype [ 26].

These sample failures were not predicted from sample age, qPCR of housekeeping genes, or RNA quality or quantity.

The sampled pixels are predicted with a traditional directional intra prediction scheme, and the non-sampled pixels are predicted from the interpolation of their neighboring reconstructed sampling pixels.

In a nutshell, the current sample to be coded is predicted from previously coded samples.

For example, to construct a prediction model explaining 10% of liability heritability, we first sampled predicted values, Gi, for 1 000 000 individuals from a Gaussian distribution with mean 0 and variance 0.1, then generated liability values, Li, by adding to each Gi a Gaussian error term with mean 0 and variance 0.9.

Unfortunately, it is only the least efficient measurement procedure that allows the sampling error to be predicted from the measurement itself.

Based on an existing energy model the location and number of the energy minima along which the hierarchical sampling takes place is predicted from existing data points without any a-priori knowledge, using a predictor function.

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