# CellComNet

**Repository Path**: Tomhappy/CellComNet

## Basic Information

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

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-12-02
- **Last Updated**: 2023-12-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CellComNet
CellComNet: Integrating potential ligand-receptor interactions and single-cell RAN sequencing data for cell-cell communication inference

## Data
Data is available at [uniprot](https://www.uniprot.org/), [GEO](https://www.ncbi.nlm.nih.gov/geo/).

## Environment
Install python3 for running this code. And these packages should be satisfied:
* tensorflow == 1.14.0
* keras == 2.3.0
* pandas == 1.1.5
* numpy == 1.19.3
* scikit-learn == 0.24.2
* pai4sk == 0.1.5

## Usage
To run the model, default 5 fold cross validation
```
python code/CellComNet.py
```