This repository contains the code, datasets, and results associated with the research article titled "[Cross Validation for Training and Testing Co-occurrence Network Inference Algorithms]". The study focuses on understanding microbial networks through [methods used, e.g., network analysis, machine learning, etc.]. This repository provides all the necessary materials to reproduce the analyses and results discussed in the article.

1. Overview
2. Repository Structure
3. Installation and Setup
4. Usage
5. Data
6. Results
7. Contributing
8. Citation
9. License

The goal of this research is to explore and model the interactions between microbial species using [network analysis, machine learning, etc.]. Specifically, we aim to [summarize the purpose or findings, e.g., "identify key microbial species that play a crucial role in community stability"]. This repository includes the following components:

• Source Code: Scripts to perform the analysis.
• Datasets: Example datasets used in the study.
• Results: Visualizations and outputs generated from the analysis.
• Documentation: Detailed instructions to reproduce the research.

The repository is organized as follows:

├── data/                  # Example datasets used in the research
├── results/               # Generated results and figures
├── code/                   # Source code for the analysis
├── LICENSE                # License for the repository
├── README.md              # This README file