Sentence examples for model integrates gene from inspiring English sources

Note here how our model integrates gene expression data (as represented by the reaction sets H, M and L) via the objective functions in our three-stage minimization.

On one hand, these models help contextualizing high throughput experimental data, for example, integrating gene expression data with metabolic pathways under different growth conditions [ 2].

Next, flux balance analysis (FBA) of a genome-scale metabolic model integrated with gene expression values, has been carried out to identify essential genes through systematic, in silico gene knockouts (KOs).

For example, the top performing method in the third edition of the "Dialogue for Reverse Engineering Assessments and Methods" (DREAM), developed by Yip et al. [ 14], was based on a combination of a statistical error-model and ODE modeling to integrate gene knock-out (KO) and time-course experiments.

Toward this goal, we developed an empirical Bayes statistical model to integrate gene expression and DNA methylation data.

A comprehensive model of integrating gene clustering and these follow-up analyses should be derived, which would enable geneticists to extract biological insight from gene expression data.

Using the Cancer Genome Atlas glioblastoma dataset, we apply the iBAG model to integrate gene expression and methylation data to study their associations with patient survival.

In Section 5, we apply the iBAG model to integrate gene expression and methylation data for TCGA's glioblastoma study, and evaluate the associations between those data and patients' survival times.

Inspired by Beer and Tavazoie [ 4], we used Bayesian network – a probabilistic model to integrate gene expression profiles, transcription factor binding sites (TFBSs) as well as miRNA target motifs to deduce the combination of sequence elements that modulate gene expression, and we tried to explain the observed gene expression profiles in terms of the adopted motifs.

The model integrates transcriptional regulation (by transcription factor genes) and post-transcriptional regulation (by miRNAs) and thereby displays the interrelationship between miRNAs and transcription factors.

This model integrates information from networks (e.g. pathways) and nodes (e.g. genes) by a hybrid of conditional and generative components.