Network Analysis
Cross-source consensus on Network Analysis from 1 sources and 6 claims.
1 sources · 6 claims
Uses
How it works
Evidence quality
Highlighted claims
- Primary modelling endpoints include exacerbation timing and frequency, FEV1, exacerbation occurrence, and asthma control by ACT or GINA. — Real-world and Genomic data-based Asthma Insights through Network Analysis (REGAIN study): protocol for a novel retrospective and prospective longitudinal asthma cohort study
- Coexpression, Bayesian, and other network models will be used to study molecular heterogeneity and predict treatment response. — Real-world and Genomic data-based Asthma Insights through Network Analysis (REGAIN study): protocol for a novel retrospective and prospective longitudinal asthma cohort study
- The primary objective is to describe asthma clinically and molecularly by type 2 biology and asthma control across treatments. — Real-world and Genomic data-based Asthma Insights through Network Analysis (REGAIN study): protocol for a novel retrospective and prospective longitudinal asthma cohort study
- Secondary objectives include finding biomarkers that classify endotypes, differentiate trajectories, and distinguish biologic responders from non-responders. — Real-world and Genomic data-based Asthma Insights through Network Analysis (REGAIN study): protocol for a novel retrospective and prospective longitudinal asthma cohort study
- The analytical team will model blood RNA sequencing and nasal brushing RNA sequencing separately. — Real-world and Genomic data-based Asthma Insights through Network Analysis (REGAIN study): protocol for a novel retrospective and prospective longitudinal asthma cohort study
- Larger group sizes enable stronger network modelling, including central node identification and Bayesian key driver analysis. — Real-world and Genomic data-based Asthma Insights through Network Analysis (REGAIN study): protocol for a novel retrospective and prospective longitudinal asthma cohort study