# MoGCN

# MoGCN

## What is it?

## What is it?

MoGCN, a multi-omics integration method based on graph convolutional network.<br>

MoGCN, a multi-omics integration method based on graph convolutional network.<br>

As shown in figure, inputs to the model are multi-omics expression matrices, including but not limited to genomics, transcriptomics, proteomics, etc. MoGCN exploits the GCN model to incorporate and extend two unsupervised multi-omics integration algorithms: Autoencoder algorithm (AE) based on expression matrix and similarity network fusion algorithm based on patient similarity network. Feature extraction is not necessary before AE and SNF. <br>

As shown in figure, inputs to the model are multi-omics expression matrices, including but not limited to genomics, transcriptomics, proteomics, etc. MoGCN exploits the GCN model to incorporate and extend two unsupervised multi-omics integration algorithms: Autoencoder algorithm (AE) based on expression matrix and similarity network fusion algorithm based on patient similarity network. Feature extraction is not necessary before AE and SNF. <br>

## Requirements 

## Requirements 

MoGCN is a Python scirpt tool, Python environment need:<br>

MoGCN is a Python scirpt tool, Python environment need:<br>

Python 3.6 or above <br>

Python 3.6 or above <br>

## Citation

## Citation

Li X, Ma J, Leng L, Han M, Li M, He F and Zhu Y (2022) MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis. Front. Genet. 13:806842. doi: 10.3389/fgene.2022.806842. <br>

Li X, Ma J, Leng L, Han M, Li M, He F and Zhu Y (2022) MoGCN: A Multi-Omics Integration Method Based on Graph Convolutional Network for Cancer Subtype Analysis. Front. Genet. 13:806842. doi: 10.3389/fgene.2022.806842. <br>