SkillAgentSearch skills...

StableCox

Nature machine intelligence-Stable Cox Regression for Survival Analysis under Distribution Shifts

Install / Use

/learn @googlebaba/StableCox
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

DOI

System Requirements

Hardware requirements

`Stable Cox' package requires only a standard computer with enough RAM to support the in-memory operations.

Software requirements

OS requirements

This package is supported for Linux. The package has been tested on the following system:

  • Linux: Ubuntu 18.04

directly install StableCox via pip

pip install StableCox Tutorial on the package please see: https://pypi.org/project/StableCox/0.3/

Python Dependencies

'Stable Cox' mainly depends on the Python scientific stack.

lifelines=0.27.8
numpy=1.20.3
pandas=2.0.3
scikit-learn=1.3.0

Installation Guide

conda create -n Stable_Cox python=3.8

source activate Stable_Cox

pip install -r requirements.txt

  • This takes several mins to build

Run demo

omics data

Stable Cox

python3 mRNA_HCC_OS.py --reweighting SRDO --paradigm regr --topN 10

Cox PH

python3 mRNA_HCC_OS.py --reweighting None --paradigm regr --topN 10

clinical data

Stable Cox

python3 clinical_lung_OS.py --reweighting SRDO --paradigm regr

Cox PH

python3 clinical_lung_OS.py --reweighting None --paradigm regr

simulated data

Stable Cox

python3 simulated.py --reweighting SRDO --paradigm regr

Cox PH

python3 simulated.py --reweighting None --paradigm regr

feature selection

Stable Cox

python3 simulated_fs.py --reweighting SRDO --paradigm regr --topN 5

Cox PH

python3 simulated_fs.py --reweighting None --paradigm regr --topN 5

  • The expected running time is from several seconds to mins depends on the number of samples.

License

This project is licensed under the terms of the MIT license.

View on GitHub
GitHub Stars23
CategoryDevelopment
Updated1mo ago
Forks6

Languages

Python

Security Score

75/100

Audited on Jan 30, 2026

No findings