Network-Based Clustering Unveils Interconnected Landscapes of Genomic and Clinical Features Across Myeloid Malignancies
This repository provides supplementary information, data, and code associated with the manuscript:
Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"
https://doi.org/10.1101/2023.10.25.563992
We have also developed an online tool for the classification of new patients across myeloid malignancies. Access it here:
Myeloid Malignancies Prediction Tool
The software is available as an R package, which is hosted on CRAN. For more information on how to use this software, including installation, system requirements and application, please refer to our detailed documentation.
- CRAN Package: Software Package
- Installation and Example: Code Demo
- Documentation: Software Documentation (PDF)
The numerical simulations can be reproduced via the numerical_simulations folder. The results on the public TCGA datasets can be reproduced by running the files in the tcga_analysis folder. Given the full set of MDA data, all results and figures of the pan-myeloid analysis can be reproduced by running the files provied in the analysis folder. The cluster results from the pan-myeloid clustering analysis can be reproduced by running the code provided in the euler_cluster folder.
GNU GPL (see LICENSE file for more details)