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This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"

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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

Online Tool

We have also developed an online tool for the classification of new patients across myeloid malignancies. Access it here:

Myeloid Malignancies Prediction Tool

Software

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.

Reproducibility

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.

Screenshot 2023-10-31 at 08 46 43

License

GNU GPL (see LICENSE file for more details)

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This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"

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