Developing advanced statistical models to analyze genomic and biomedical data
Expressive and scalable statistical models for genomic and biomedical data
['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA LOS ANGELES · NIH-11078750
This study is looking at how our genes can affect health and disease by using advanced computer techniques to analyze large amounts of genetic information from different people, with the hope of finding new ways to understand and improve health for everyone.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA LOS ANGELES (nih funded) |
| Locations | 1 site (LOS ANGELES, UNITED STATES) |
| Trial ID | NIH-11078750 on ClinicalTrials.gov |
What this research studies
This research focuses on creating and applying sophisticated statistical models to interpret large genomic and biomedical datasets. By leveraging the recent advancements in DNA sequencing technology, the project aims to uncover the biological underpinnings of diseases and enhance human health. The researchers will analyze genetic variation across diverse populations, utilizing deep phenotypic and disease information to address complex questions in biology and medicine. The goal is to develop scalable computational methods that can handle the vast amounts of data generated, ultimately leading to better understanding of disease risk and genetic diversity.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals from diverse genetic backgrounds who are interested in understanding their genetic predispositions to various diseases.
Not a fit: Patients with no interest in genetic research or those who do not have access to genomic testing may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding of genetic factors influencing diseases, potentially guiding personalized medicine approaches.
How similar studies have performed: Previous research utilizing advanced statistical models in genomics has shown promise in uncovering significant insights into genetic variation and disease risk.
Where this research is happening
LOS ANGELES, UNITED STATES
- UNIVERSITY OF CALIFORNIA LOS ANGELES — LOS ANGELES, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SANKARARAMAN, SRIRAM — UNIVERSITY OF CALIFORNIA LOS ANGELES
- Study coordinator: SANKARARAMAN, SRIRAM
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.