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Framework to build, evaluate, select, and compare ML survival analysis models using high-dimensional biological data and other covariates

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hermidalc/sksurv-bio-workflows

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sksurv-bio-workflows

Installation

Install and set up Miniforge3

Clone git repository and submodules:

git clone --recurse-submodules https://github.com/hermidalc/sksurv-bio-workflows.git
cd sksurv-bio-workflows

To install conda environment on Intel architecture hardware:

mamba env create -f envs/sksurv-bio-workflows-mkl.yml

Otherwise:

mamba env create -f envs/sksurv-bio-workflows.yml

Activate the environment:

mamba activate sksurv-bio-workflows

Install non-conda packages into environment:

./utils/install_nonconda_r_pkgs.R

Updates

Update the git repository and submodules:

git pull
git submodule update --recursive

To update the conda environment on Intel architecture hardware:

mamba env update -f envs/sksurv-bio-workflows-mkl.yml

Otherwise:

mamba env update -f envs/sksurv-bio-workflows.yml

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Framework to build, evaluate, select, and compare ML survival analysis models using high-dimensional biological data and other covariates

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