Sentence examples for modelling the gene from inspiring English sources

But challenges remain to be solved in modelling the gene regulatory networks on CRMs [ 27].

This cut-off algorithm had the advantage of modelling the gene variability rather than just the mean log2 Cy3/Cy5) value for each gene.

We start by modelling the gene expression levels at time t probabilistically by a vector-autoregressive process: (2) ∀ t ≥ 2,   X (t ) = A (t ) X (t − 1 ) + B (t ) + ϵ (t )   w i t h   ϵ (t ) ~ N (0,   Σ (t ) ), where X (t) = (X i(t))1≤ i ≤ p and N (0, Σ (t)) is the multivariate normal distribution centered at 0 with diagonal covariance matrix Σ t).

Constructing and modeling the gene regulatory network is one of the central themes of systems biology.

We choose to model the gene network with ordinary differential equations.

Now we proceed to model the gene set information.

ACSEA successfully applied the algorithm to model the gene distributions along chromosomes (Fig. 3).

A connectionist description was used to model the gene regulatory network.

Cluster analysis of genes therefore attempts to model the gene functional modules that exist within the expression data.

Poisson [ 1] and negative binomial distributions [ 9, 10] are the most commonly used ones to model the gene count data.

ARACNe Java [ 49, 50] was used to model the gene expression regulatory networks of c-MYC and KLF6.