Please also have a look at our brand new omics-to-omics DL freamwork 👀: OmiTrans
OmiEmbed: A Unified Multi-task Deep Learning Framework for Multi-omics Data
Xiaoyu Zhang (x.zhang18@imperial.ac.uk)
Data Science Institute, Imperial College London
OmiEmbed is a unified framework for deep learning-based omics data analysis, which supports:
Paper Link: https://doi.org/10.3390/cancers13123047
git clone https://github.com/zhangxiaoyu11/OmiEmbed.git
cd OmiEmbed
conda env create -f environment.yml
conda activate omiembed
pip install -r requirements.txt
python train_test.py
cd checkpoints/test/
tensorboard --logdir=tb_log --bind_all
If you use this code in your research, please cite our paper.
@Article{OmiEmbed2021,
AUTHOR = {Zhang, Xiaoyu and Xing, Yuting and Sun, Kai and Guo, Yike},
TITLE = {OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data},
JOURNAL = {Cancers},
VOLUME = {13},
YEAR = {2021},
NUMBER = {12},
ARTICLE-NUMBER = {3047},
ISSN = {2072-6694},
DOI = {10.3390/cancers13123047}
}
Please also have a look at our brand new omics-to-omics DL freamwork 👀: OmiTrans
This source code is licensed under the MIT license.