Sentence examples for models gene dependence from inspiring English sources

For example, due to the computational complexity of the models, gene dependence structure is often approximated via a linear regression, which may not perform well under the presence of higher-order interactions in the data.

Recently, several studies have introduced models taking into account this gene dependence.

When using microarray analysis to determine gene dependence, one of the goals is to identify differentially expressed genes.

The other methods, which model conditional dependence between genes, tended to have greater power to detect susceptibility genes in the scale-free networks compared with ER.

Significant differences in gene expression were determined using VAMPIRE (Variance-Modeled Posterior Inference of Microarray Data), a Bayesian statistical method that models the dependence of measurement variance on the amplitude of gene expression [22], [23].

In such models, parameter dependence is not a necessary condition for controllable probabilistic dependence.

Compared to the commonly used F-S model, the conditional dependence model provides substantially better fit to the data when conditional dependence exists.

Instead, the model should carefully model the time dependence of the voltage generator.

As with the separate analyses, eQTLs were identified using an additive linear model with sex, race and age included as covariates for adjustment; a model for dependence between tissues was also used for the association of each gene-SNP pair.

In such models controllable probabilistic dependence is not a necessary condition for superluminal signaling.

Johnson and Porter (2000, 2007) examined the evolution of decreased hybrid fitness for simple models of gene regulation, under positive and stabilizing selection, in the clonal interference regime (n μ 0 N ∼ 1 ), but did not investigate the dependence on population size.