# schulter/EMOGI

<https://repo.masters-masters.com/en/repos/schulter/EMOGI>

[Home](https://repo.masters-masters.com/en) › [schulter](https://repo.masters-masters.com/en/owners/schulter) › [EMOGI](https://repo.masters-masters.com/en/repos/schulter/EMOGI)

schulter/EMOGI has 166 stars on GitHub. Its RepoMasters card: Prototype tier. An explainable multi-omics graph integration method based on graph convolutional…

| Field | Value |
| --- | --- |
| Owner | [schulter](https://repo.masters-masters.com/en/owners/schulter) |
| Stars | 166 |
| Forks | 32 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | GPL-3.0 |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [schulter/EMOGI](https://github.com/schulter/EMOGI) |

## Repository

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.