Sentence examples for remission networks from inspiring English sources

Finally, a network has been constructed with the 2307 edges shared by the relapse and remission networks, but not the controls' network, with the aim of identifying a disease-specific network that could guide the detection of ncRNAs with potential to be used as therapeutic targets.

The differential network analysis (relapse vs. remission vs. controls' networks) has revealed that, although both network topology and the majority of the genes are maintained, few ncRNA – mRNA links appear in more than one network.

Condition-specific (relapse, remission and healthy) networks have been built and compared to identify the parts of the system most affected by perturbation and aid the identification of potential therapeutic targets among the ncRNAs.

Condition-specific (relapse, remission and healthy) networks have been built and compared to identify the parts of the system most affected by perturbation and aid the identification of potential therapeutic targets among the selected ncRNAs.

Condition-specific networks (relapse, remission and healthy controls' networks) have been built and compared in order to identify the parts of the system most perturbed by the disease.

We observe a similar phenomenon in the condition-specific (relapse-, remission- and control-specific) ncRNA – mRNA coexpression networks we have created for the differential network analysis.

We selected four miRNA, hsa-miR-148a, hsa-miR-184, hsa-miR-193a and hsa-miR-96, coming from the network analysis that differentiates between remission and control groups.

The correlation values of the power law are not as high as that of the global network (0.821 for relapse, 0.842 for remission and 0.813 for controls) but remain statistically significant (p < 10−8 in all cases).

Although this trial was unsuccessful at finding new therapies to induce clinical remission in type 1 diabetes, it showed that our network can successfully design, recruit, and conduct clinical trials of sufficient size.

The proposed network obtained in the comparison between samples from patients in remission and control samples identified four miRNAs likely to be implicated in the relapses (hsa-miR-148a, hsa-miR-184, hsa-miR-193a and hsa-miR-96).

With the aim of testing the effect that disease status (patients in relapse, patients in remission or healthy controls) exerts on the global ncRNA – mRNA coexpression pattern, status-specific networks were created.