semvec/pypi-packages huggingface dataset:
RNACOREX 0.1.5
RNA Coregulation Network Explorer and Classifier

# RNACOREX

**RNACOREX** is a Python package for building Bayesian Network based classification models using miRNA-mRNA post-transcriptional networks. It uses curated interaction databases and conditional mutual information for identifying sets of interactions and model them using Conditional Linear Gaussian Classifiers (CLGs).

Repository: [RNACOREX on GitHub](https://github.com/digital-medicine-research-group-UNAV/RNACOREX)

---

## 🚀 Features

- Extracts structural and functional scores from miRNA-mRNA interactions.
- Identify sets of interactions associated with different phenotypes.
- Build CLG classifiers using these interaction sets.
- Display the post-transcriptional networks.


## 📦 Installation

Installation in a Python virtual environment is required. It is highly recommended to run it in a **conda environment**.

Install with:

```bash
pip install rnacorex
```

**Important:** Next engines must be placed in their path `rnacorex\engines` **before** running the package. 

- `DIANA_targets.txt`
- `Tarbase_v9.tsv`
- `Targetscan_targets.txt`
- `MTB_targets_25.txt`
- `gencode.v47.basic.annotation.gtf`

Engines can be downloaded using the next command:

```bash
rnacorex.download()
```

Alternatively they can be manually downloaded from: `https://tinyurl.com/RNACOREX`

Run the next command to check if the engines have been correctly added:

```bash
rnacorex.check_engines()
```

**Important:** For displaying networks,`pygraphviz` must be installed separately using conda:

```bash
conda install -c conda-forge pygraphviz
```
simplevfx 0.0.2
A simple way to spawn image-based visual effects in PyGame.
Requires Python: >=3.8

SimpleVFX: A simple way to spawn image-based visual effects in PyGame.

This repo contains 2 files: SimpleVFX.py, the file with the actual code, and SimpleVFXExample.py, an example showing how you can use it

All classes and functions in the main file are thoroughly commented, but please open an Issue if anything is unclear.

Feel free to use this as you like, without credit or charge, if it's helpful. Or to rage at me if it's not. If you do use it, I would love to see how!

Thanks,
BProgramming