Sentence examples for model of raw from inspiring English sources

She advocates a diet that includes what she called "the prey model" of raw, meaty bones and organs.

The difference from current work is that the delay dependence in the Fisher information metric G was derived by incorporating the fundamental radar equation in the model of raw data.

A co-culture model of RAW 264.7 mouse macrophage cells and HT-29 human intestinal epithelial cells was established to study the correlation between inflammation and aquaporin (AQP) expression and to evaluate the toxicity of different diterpenoids from E. pekinensis.

Ron Asheton, whose scorching and energetic guitar work behind singer Iggy Pop in the Michigan punk band the Stooges established a new model of raw emotion for a succeeding generation of punk, grunge and alternative rockers, has died.

Statistical tests were conducted by generating a generalized multilevel mixed-effects model of raw data, according to a Bernoulli distribution, in R (www.r-project.org).org

We choose this simple form for the proxy since a parameterized model of raw contacts as a function of television viewing is not available.

To estimate the genetic and environmental components of variance of the traits, twin model fitting of raw data was implemented using the statistical package Mx [ 37].

Our method employs hereby denoted by CA-FR, the input layer weights to rank the feature vector in terms of significance, discarding the lowest ranked features, allowing for a higher discriminative performance of the algorithm and a robust model of the raw data.

ALCHEMY is based on a Bayesian model of the raw intensity data and can accurately call genotypes.

The DESeq2 method 13 (v 1.8.1 R package) uses a NB model to model the variability of raw counts and Fisher's exact test to estimate differences between the conditions.

For example, the behavior of one model can be tested with a deterministic and a stochastic simulation algorithm, or a simulation can be applied to different versions of a model with varying parameterization (or other arbitrary model changes applied to the SED-ML model element) define transformations of raw simulation output generated by a task into the desired numerical form.