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        "description": "# Random Survival Forest\n\nThe ICGC-survival package provides an easy oppurtinity to perform survival prediction on ICGC datasets.\n\n## Installation\n```sh\n$ pip install icgc-survival\n```\n\n## Contribute\n\n- Source Code: https://github.com/julianspaeth/icgc-survival\n\n## Getting Started\n\n```python\n>>> from download_helper import login, download_file_by_project\n>>> from feature_creator import extract_gene_affected_counts\n>>> from label_creator import extract_survival_labels\n\n>>> token = login(username, password)\n>>> df = download_file_by_project(token=token, filetype=\"simple_somatic_mutation\", release=28, project_code=\"ALL-US\")\n>>> ssm_gene_affected_counts = extract_gene_affected_counts(df)\n>>> labels, features = extract_survival_labels(ssm_gene_affected_counts, donors)\n\n>>> x, x_test, y, y_test = train_test_split(features, labels, shuffle=True, test_size=0.33, random_state=10)\n...\n```\n\n## Support\n\nIf you are having issues or feedback, please let me know.\n\njulian.spaeth@student.uni-tuebinden.de\n\n## License\nMIT\n\n",
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