Skip to content

SALMON: Survival Analysis Learning with Multi-Omics Neural Networks

Notifications You must be signed in to change notification settings

huangzhii/SALMON

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SALMON 🐟

SALMON: Survival Analysis Learning with Multi-Omics Neural Networks

SALMON architecture with the implementation of Cox proportional hazards regression networks:

SALMON Architecture

Publication:

Huang, Zhi, et al. "SALMON: Survival Analysis Learning with Multi-Omics Neural Networks on Breast Cancer." Frontiers in Genetics 10 (2019): 166. [Link]

1. Installation

conda install pytorch torchvision -c pytorch
conda install -c conda-forge tqdm
conda install -c conda-forge imbalanced-learn
conda install -c conda-forge lifelines

Alternative installation

To install the libraries with the specified version, requirements.txt can be used as a configuration file with the following command:

pip install -r requirements.txt

2. Run the main routine

cd experiments
python main.py

Releases

No releases published

Packages

No packages published

Languages