Using deep learning to understand how genes are regulated in diseases
Deep learning for understanding gene regulation in diseases via 'omics' integration
This study is looking at how genes work in different diseases by using advanced computer models to understand the connections between DNA sequences and their structures, which could help find new ways to treat gene-related issues.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brown University NIH-funded |
| Lab location | 1 site (Providence, United States) |
| Project ID | NIH-10916192 on NIH RePORTER |
What this research studies
This research focuses on developing advanced neural networks to analyze gene expression and regulation in various diseases. By integrating multiple datasets, including DNA sequences and 3D DNA structures, the researchers aim to uncover meaningful connections that influence gene activity. The approach involves using graph-based neural networks to model the complex relationships between different genomic regions, which can help identify factors that lead to gene misregulation. The findings could provide valuable insights for future biological experiments and therapeutic strategies.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with genetic disorders or diseases where gene regulation plays a critical role.
Not a fit: Patients with conditions unrelated to gene regulation or those not affected by genetic factors may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to a better understanding of gene regulation in diseases, potentially informing new treatment strategies.
How similar studies have performed: Other research has shown promise in using deep learning and similar approaches to analyze genetic data, indicating potential for success in this area.
Where this research is happening
Providence, United States
- Brown University — Providence, United States (Active)
Researchers
- Principal investigator: Singh, Ritambhara — Brown University
- Study coordinator: Singh, Ritambhara
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.