Random Survival Forest
The ICGC-survival package provides an easy oppurtinity to perform survival prediction on ICGC datasets.
Installation
$ pip install icgc-survival
Contribute
- Source Code: https://github.com/julianspaeth/icgc-survival
Getting Started
>>> from download_helper import login, download_file_by_project
>>> from feature_creator import extract_gene_affected_counts
>>> from label_creator import extract_survival_labels
>>> token = login(username, password)
>>> df = download_file_by_project(token=token, filetype="simple_somatic_mutation", release=28, project_code="ALL-US")
>>> ssm_gene_affected_counts = extract_gene_affected_counts(df)
>>> labels, features = extract_survival_labels(ssm_gene_affected_counts, donors)
>>> x, x_test, y, y_test = train_test_split(features, labels, shuffle=True, test_size=0.33, random_state=10)
...
Support
If you are having issues or feedback, please let me know.
julian.spaeth@student.uni-tuebinden.de
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for icgc-survival 0.2.3
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