Sentence examples for modelling of gene from inspiring English sources

The present study showed that efforts should be dedicated to characterizing and modelling of gene flow at the landscape level, as well as the collection of datasets for the evaluation of these models in many landscapes and configurations.

Boolean models were invented for modelling of gene regulatory networks [ 1], and are now used in a variety of signalling systems [ 2- 4].

In the case of several transcription factors acting on a gene, they assumed the effect could be expressed by Boolean combinations of the separate response functions, and proposed a simple framework of ordinary differential equations for modelling of gene regulatory networks based on these principles.

An often utilized approach for large-scale modelling of gene regulatory networks is to only consider the transcripts, and thereby letting all interactions be projected onto the space of genes only [14].

Modelling of gene regulatory networks (GRNs) has become a widely used computational approach in systems biology [ 1].

Various computational models have been of interest due to their use in the modelling of gene regulatory networks (GRNs).

Further, network modelling of gene-gene and protein-protein interactions (PPI) provides a relatively new integrative approach to understand complex disease and identify disease-related genes [ 21, 22].

Such interactions also complicate the statistical modelling of gene-environment interactions since they violate the assumption of independence: with some of the genetic variance clearly depending on exposures.

Although the operon model has proved a useful model of gene regulation in bacteria, different regulatory mechanisms are employed in eukaryotes.

We thus design a model of gene expression.

This, along with several other sources of randomness, call for probabilistic modeling of gene regulatory networks.