Published March 6, 2024 | Version v2

Associated code and data for "A disease network-based deep learning approach for characterizing melanoma (doi:10.1002/IJC.33860)"

Authors/Creators

  • 1. ROR icon Tampere University

Description

This deposit contains the data, code, and analysis to recreate the results in the manuscript - Lai X, Zhou JF, Wissely A, Heppt M, Maier A, Berking C, Vera J, Zhang L. A disease network-based deep learning approach for characterizing melanoma. International Journal of Cancer. 2022; 150(6): 1029- 1044. doi:10.1002/IJC.33860.

If you have used the code for your research, please cite the original publication. Thank you very much.

 

 

Files

tcga_melanoma_autoencoder.zip

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Additional details

Software

Programming language
R , Python

References

  • Lai X, Zhou J, Wessely A, et al. A disease network-based deep learning approach for characterizing melanoma. Int. J. Cancer. 2021;1-16. doi:10.1002/ijc.33860