Sentence examples for modeling the expression from inspiring English sources

[3] Instead of modeling the expression levels, another solution is to model the binding affinities between a protein and its target genes based on the thermodynamics theory.

Microarray data can be used to identify potential RGs by modeling the expression data to select those with the most stable expression [ 9- 11].

Therefore, these pairwise approaches are suboptimal without explicitly modeling the expression dynamics over time nor can the time points that contribute most to time evolution trajectory pattern of a gene's expression be identified.

The reason that the SLR method tries to minimize the number of TFs in modeling the expression level of each signature gene is that only the TFs showing strong linear correlation tend to remain in the final regression model.

The objective is to use Ω = { (x i, y i), i = 1,..., N} to select a parsimonious set of informative markers and build a classifier with these markers such that the diagnosis status of a test sample can be accurately classified by modeling the expression data of the selected markers.

The stress-induced hyperthermia test is a paradigm developed several years ago to model the expression of autonomic hyperactivity in anxiety.

The first term of Eq. (2) may be expanded in an infinite series, and therefore approximations are needed to successfully model the expression.

We mathematically modeled the expression of an NFATc2-dependent gene.

The noise was modeled using the same rule as above but selecting a random λ ∼ Uniform [1, 300] to model the expression profile of each tag.

Importantly, these clustering based models are not suitable to model the expression of each individual gene.

We use the same pattern of reactions to model the expression of the tetA gene as we did to model tetR expression.