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dope-autoencoder's Introduction

DOPE

This repo contains scripts for DOPE model in paper name. The data acquisition methods as well as model architecture details are also described below.

Environment Setup

We recommend using conda to setup the required python environment for the project.

conda create -n dope python=3.7
conda install -c anaconda jupyter
conda install -c anaconda pandas
conda install tensorflow
conda install -c conda-forge xgboost
conda install -c anaconda numpy
conda install -c anaconda scikit-learn
conda install -c anaconda matplotlib

As the dataset provided will exceed the limitation of Github file size, we will use Git Large File Storage. Please follow the instructions to install it so everything can run successully.

Data

Biomed-clinical data

Multi-omics data

dope-autoencoder's People

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