Code for testing out various methods of cell-type deconvolution of bulk GEP data. The methods are described in the following papers:
- Abbas et al. 2009: Deconvolution of Blood Microarray Data Identifies Cellular Activation Patterns...
- Gong et al. 2011: Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming...
- Newman et al. 2015: Robust enumeration of cell subsets from tissue expression profiles
Download and extract the data by running ETL.ipynb
. This will download the data from GEO and save it in the data
directory. Anaylsis.ipynb
contains the code for running the deconvolution methods and plotting the results.