Advanced Tools for Understanding Cell Information
Statistical Methods for RNA-seq Data Analysis
This project develops new computer methods to better understand the detailed genetic information within individual cells, which helps us learn more about diseases like COVID-19.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Fred Hutchinson Cancer Center NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-11129744 on NIH RePORTER |
What this research studies
Our bodies are made of many different cells, each with unique genetic instructions. New technologies allow us to read these instructions from thousands of individual cells or even map them within tissues. This project creates advanced computer programs, called deep learning methods, to make sense of this huge amount of information. By improving how we analyze these complex cell data, we can gain deeper insights into how diseases develop and how they might be treated.
Who could benefit from this research
Good fit: Patients whose biological samples contribute to research using advanced cell analysis techniques could indirectly benefit from the improved insights this project provides.
Not a fit: Patients not involved in research that generates complex cell data would not directly benefit from these specific data analysis methods.
Why it matters
Potential benefit: If successful, this work could lead to a clearer understanding of diseases at the cellular level, potentially speeding up the discovery of new ways to diagnose, treat, and prevent illnesses.
How similar studies have performed: Deep learning methods have shown promise in various data analysis fields, and this project aims to adapt and improve them for the unique challenges of cell-level genetic data.
Where this research is happening
Seattle, United States
- Fred Hutchinson Cancer Center — Seattle, United States (Active)
Researchers
- Principal investigator: Sun, Wei — Fred Hutchinson Cancer Center
- Study coordinator: Sun, Wei
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.