Improving data quality in cancer genomics through batch effect analysis
A Genome Data Analysis Center Focused on Batch Effect Analysis and Data Integration
This study is working on a new software to help make cancer genetic data more accurate and reliable, which could ultimately lead to better treatments for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Tx Md Anderson Can Ctr NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-10912547 on NIH RePORTER |
What this research studies
This research focuses on enhancing the quality and reproducibility of cancer genomic data by addressing technical batch effects that can distort results. Using a software system called MBatch, the team will detect, quantify, and correct these effects in large-scale molecular profiling projects. The approach involves collaboration with data generators to understand the underlying causes of batch effects, whether technical or biological, and applying computational methods to improve data integrity. Patients may benefit indirectly as this research aims to improve the reliability of genomic data used in cancer treatment and research.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include cancer patients whose treatment plans rely on genomic profiling.
Not a fit: Patients with conditions unrelated to cancer genomics may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate genomic data, ultimately improving cancer diagnosis and treatment strategies.
How similar studies have performed: Previous research has shown success in improving data quality in genomics through similar batch effect analysis techniques.
Where this research is happening
Houston, United States
- University of Tx Md Anderson Can Ctr — Houston, United States (Active)
Researchers
- Principal investigator: Akbani, Rehan — University of Tx Md Anderson Can Ctr
- Study coordinator: Akbani, Rehan
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.