# Crop-GPA

**Repository Path**: Tomhappy/Crop-GPA

## Basic Information

- **Project Name**: Crop-GPA
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-04-25
- **Last Updated**: 2024-04-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CROP-GPA-GCN TOOL

## Synopsis

**Crop-GPA-GCN TOOL** is a computational tool for predicting new traits ( task Tt) and new genes (task Tg) based on known Gene-Phenotype Associations through GCN with graph sampling technique.



## Using the Code

### Build instructions
To examine the code in this repository, first clone the Git repository via ```git```.

```$ git clone https://qianshuai09/Crop-GPA.git```

Create a virtual environment.

```$ conda create -n crop-gpa-gcn python=3.7```

Install package

```$ conda install --yes --file requirements.txt```

Run program

```$ cd code-gpa```

```$ python main.py```


## Training Data

Data list

```$ cd data```


## Predicted Result

![image](predict-result.png)
## Contact 
Please feel free to contact us if you need any help: zhenyuyue@ahau.edu.cn