Using machine learning to understand how genes interact in cells during development
Sequence-based Machine Learning for Inference of Dynamic Cell State Gene Network Models
['FUNDING_R01'] · JOHNS HOPKINS UNIVERSITY · NIH-11079444
This study is looking at how genes work together during early human development to help us understand how changes in these genes might lead to diseases, using smart computer methods to analyze their activity over time.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | JOHNS HOPKINS UNIVERSITY (nih funded) |
| Locations | 1 site (BALTIMORE, UNITED STATES) |
| Trial ID | NIH-11079444 on ClinicalTrials.gov |
What this research studies
This research focuses on developing advanced computational methods to model how different genes and their regulatory elements interact during early human development. By analyzing gene activity and the effects of genetic variations, the researchers aim to create a better understanding of how these interactions influence cellular behavior. The approach involves using machine learning techniques to infer complex gene network models based on temporal measurements of gene and enhancer activity. This could lead to insights into how genetic variations contribute to diseases.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with genetic variations linked to developmental disorders or diseases.
Not a fit: Patients with conditions unrelated to genetic variations or those not in early developmental stages may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could provide new insights into the genetic basis of diseases, potentially leading to more effective treatments and interventions.
How similar studies have performed: Other research has shown promise in using machine learning to model gene interactions, suggesting that this approach could yield valuable insights.
Where this research is happening
BALTIMORE, UNITED STATES
- JOHNS HOPKINS UNIVERSITY — BALTIMORE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: BEER, MICHAEL A — JOHNS HOPKINS UNIVERSITY
- Study coordinator: BEER, MICHAEL A
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.