TP53

Published: 12 December 2022| Version 2 | DOI: 10.17632/rn96hp5kw4.2
Contributors:
Charalampos Triantafyllidis,

Description

Data repository for the referenced manuscript. All generated and optimized networks for TCGA and CCLE can be found in the corresponding folders. The input files have been included as a Shiny App .zip file, which combined with the cited GitHub repository below, provide a full Shiny App with GUI to reproduce the results. Results concerning the ML and community detection signatures plus survival data used are provided also in the corresponding folders.

Files

Steps to reproduce

From the GitHub repository cited below, download the .zip of all functions and unzip inside the Shiny.app in /software_inputs, in its parent directory (where the inputs folder will be). Use the provided packages in R and run the shiny app using the "app.R" function. This will load the GUI with all the necessary options to reproduce the results here.

Institutions

Imperial College London, Universita Bocconi, University of Oxford, University of Greenwich

Categories

Systems Biology, Cancer, Machine Learning, Mathematical Optimization, Discrete Optimization, Cancer Systems Biology, Computational Biology

Funding

European Research Council

MICROC:772970

Related Links

Software
https://github.com/harrytr/p53
is related to this dataset
Article
https://www.biorxiv.org/content/10.1101/2022.06.23.497293v4.abstract
is related to this dataset

Licence