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---
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/)
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