Understanding Cell States with Advanced Data Tools
Integrative characterization of cell state via modeling of multi-omics data
This project aims to create new computer tools to better understand how individual cells work and change, especially in relation to diseases.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oregon Health & Science University NIH-funded |
| Lab location | 1 site (Portland, United States) |
| Project ID | NIH-11123153 on NIH RePORTER |
What this research studies
Our bodies are made of many different kinds of cells, and understanding how they change and what makes them unique is key to understanding health and disease. New technologies allow us to gather many types of information from a single cell at once, like its genetic code, how its genes are turned on or off, and its surface proteins. This project will develop advanced computer methods to make sense of this complex data, helping us to identify new cell types, understand how cells develop, and find connections between cell changes and disease.
Who could benefit from this research
Good fit: This project is focused on developing computational tools and does not directly involve patient participation.
Not a fit: Patients will not directly receive treatment or intervention from this foundational computational methods development.
Why it matters
Potential benefit: If successful, this work could lead to a much deeper understanding of how diseases develop at the cellular level, potentially paving the way for new ways to diagnose or treat them.
How similar studies have performed: While the technologies for gathering single-cell multi-omics data are emerging, there is a significant need for new computational methods to interpret this complex information.
Where this research is happening
Portland, United States
- Oregon Health & Science University — Portland, United States (Active)
Researchers
- Principal investigator: Yardimci, Galip Gurkan — Oregon Health & Science University
- Study coordinator: Yardimci, Galip Gurkan
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.