This repository is primarily intended for peer review purposes, except for the 3D Volcano Plot folder, which may be made public in the future.
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Clustering
- Contains scripts and examples demonstrating clustering methods.
- Includes data preprocessing, clustering algorithms, and visualization functions for interpreting the results.
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3D Volcano Plot
- Includes tools for creating 3D volcano plots for data visualization.
- Provides scripts and functions for generating plots with Umich cohort.
- This folder is under development and might be shared publicly at a later stage.
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Prognostic Model
- Features machine learning models such as Random Survival Forest and Lasso Cox Regression.
- Includes the entire workflow:
- Training Process: Training models on internal datasets.
- Validation: External validation using independent datasets.
- Provides scripts for data preprocessing, feature selection, and model evaluation.
- Contains visualization functions for performance metrics, such as survival curves and feature importance plots.
- The trained RSF models are available at https://www.dropbox.com/scl/fo/wwosk8acw7jrxbvhwbdzr/AH5YLotEQkxGnJrD55wUHCk?rlkey=spgrv6yudjlet0sl6kyd3nfyo&st=vaxbzank&dl=0