e-learning
Evaluating Reference Data for Bulk RNA Deconvolution
Abstract
There are various methods to estimate the proportions of cell types in bulk RNA data. Since the actual cell proportions of the data are unknown, how do we know if our tools are producing accurate results?
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How do I evaluate my reference data?
- How do I compare different deconvolution tools?
- What are the best metrics for determining tool accuracy?
Learning Objectives
- Generate psuedo-bulk data from single-cell RNA data
- Process the single-cell and psuedo-bulk data using various deconvolution tools
- Evaluate and visualse the results of the different deconvolution methods
Licence: Creative Commons Attribution 4.0 International
Keywords: Single Cell, transcriptomics
Target audience: Students
Resource type: e-learning
Version: 1
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Generate psuedo-bulk data from single-cell RNA data
- Process the single-cell and psuedo-bulk data using various deconvolution tools
- Evaluate and visualse the results of the different deconvolution methods
Date modified: 2025-02-02
Date published: 2025-02-02
Contributors: Carlos Chee Mendonça
Activity log
