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license: mit |
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tags: |
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- biology |
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--- |
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# Model Details |
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## Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** [More Information Needed] |
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- Order the SARS Cov2 sequences by environmental changes, mainly the rate of change of the sunshine duration. |
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## Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [More Information Needed](https://github.com/TavoGLC/SlidingSampling) |
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- **Paper :** [Applications of sliding sampling](https://www.researchsquare.com/article/rs-1691291/v1) |
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- **Demo :** [Kaggle](https://www.kaggle.com/code/tavoglc/sars-cov2-mutational-hotspots) |
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# Uses |
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Classificaion of the SARS-Cov2 sequences and determination of mutational hotspots. |
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## How to Get Started with the Model |
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**Demo :** [Kaggle](https://www.kaggle.com/code/tavoglc/sars-cov2-mutational-hotspots) |
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# Training Details |
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## Training Data and test data |
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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 |
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## Model Architecture and Objective |
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MLP VAE and mse loss |
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**Demo :** [Kaggle](https://www.kaggle.com/code/tavoglc/autoencoders-jax-and-sars-cov2) |
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### Hardware |
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GPU NVIDIA Corporation TU116 [GeForce GTX 1660 Ti] |
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# More Information [optional] |
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Further details at [Substack](https://tavoglc.substack.com/) |
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