---
license: mit
tags:
- biology
---
# Model Details

## Model Description

<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]

- Order the SARS Cov2 sequences by environmental changes, mainly the rate of change of the sunshine duration. 

## Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [More Information Needed](https://github.com/TavoGLC/SlidingSampling)
- **Paper :** [Applications of sliding sampling](https://www.researchsquare.com/article/rs-1691291/v1)
- **Demo :** [Kaggle](https://www.kaggle.com/code/tavoglc/sars-cov2-mutational-hotspots)

# Uses

Classificaion of the SARS-Cov2 sequences and determination of mutational hotspots. 

## How to Get Started with the Model

**Demo :** [Kaggle](https://www.kaggle.com/code/tavoglc/sars-cov2-mutational-hotspots)

# Training Details

## Training Data and test data

Stacked frequence of k-mers up to the 4-mer obtained from full size SARS-Cov2 sequences. NCBI sequence ID of each sequence for each fold is on the csvfile

## Model Architecture and Objective

MLP VAE and mse loss

**Demo :** [Kaggle](https://www.kaggle.com/code/tavoglc/autoencoders-jax-and-sars-cov2)

### Hardware

GPU NVIDIA Corporation TU116 [GeForce GTX 1660 Ti]

# More Information [optional]

Further details at [Substack](https://tavoglc.substack.com/)