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SARSCov2_fragments
tavoglc/SARSCov2_fragments
SARSCov2_fragments is a machine learning model from tavoglc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
- Developed by: [More Information Needed]
Access
Public
Updated Feb 24, 2023
Repo size
52.2 MB
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0
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Repo makeup
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.csv52.1 MB · 94%
At a glance
- License
- mit
- Access
- Public
- Created
- Feb 23, 2023
- Updated
- Feb 24, 2023
- SHA
- 9035ca34
Model card
From the Hugging Face model README
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
- Paper : Applications of sliding sampling
- Demo : Kaggle
Uses
Classificaion of the SARS-Cov2 sequences and determination of mutational hotspots.
How to Get Started with the Model
Demo : Kaggle
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
Hardware
GPU NVIDIA Corporation TU116 [GeForce GTX 1660 Ti]
More Information [optional]
Further details at Substack
- License
- mit
- Created
- Feb 23, 2023
- Updated
- Feb 24, 2023