Sentence examples for models with gene from inspiring English sources

The currently used metabolic modeling approaches can be subdivided into structural models, stoichiometric models, carbon flux models, stationary and nonstationary mechanistic models and models with gene regulation.

These studies were mostly conducted in animal models with gene deletion, gene expression knockdown, or overexpression.

Models with gene expression data were compared to models with standard clinical covariates and models with both gene expression and clinical covariates.

The predictive power of integration showed the improvement compared to the models with gene expression data or single knowledge-based dataset alone (Table  1).

To predict gene expression in lung, we built gene-specific linear regression models with gene expression in lung as outcome and the gene expression in blood, age, and gender as predictors.

The new genetic score method is one approach, approaches aiming at testing of more complex models with gene by gene and gene by environment interactions may be another avenue.

It is therefore useful to expand classification models with gene-related information.

For models with gene-protein-reaction (GPR) relationships, scores for genes can be provided, which are converted into scores for reactions.

By joining well-established mixture toxicity baseline models with gene-expression data the current limitation of providing mainly anecdotal evidence on mixture effects at the transcriptomic level may be overcome.

In gene expression analyses, heterogeneity of gene-specific residual dispersion has been addressed recently [ 8, 9], where hierarchical mixed models with gene-specific residual variances substantially reduced the rate of false positives and allowed for a more realistic fit of gene expression data [ 10].

The coalescent history distribution as well as the gene tree topology distribution under this coalescent model with gene flow are then calculated via numerical integration.