### Dataset Summary

This dataset will help you to develop a machine learning-based model to predict the pathogenic variants (Positive labels) by utilizing their amino acid sequences.

**Used as an example to benchmark _biomerida_ as part of the Bio-Hakathon Mena region**

region:us
{}
TAGS
#region-us 

### Dataset Summary

This dataset will help you to develop a machine learning-based model to predict the pathogenic variants (Positive labels) by utilizing their amino acid sequences.

Used as an example to benchmark _biomerida_ as part of the Bio-Hakathon Mena region

### Dataset Summary

This dataset will help you to develop a machine learning-based model to predict the pathogenic variants (Positive labels) by utilizing their amino acid sequences.

Used as an example to benchmark _biomerida_ as part of the Bio-Hakathon Mena region
TAGS
#region-us 
 ### Dataset Summary

This dataset will help you to develop a machine learning-based model to predict the pathogenic variants (Positive labels) by utilizing their amino acid sequences.

Used as an example to benchmark _biomerida_ as part of the Bio-Hakathon Mena region
passage: TAGS
#region-us 
### Dataset Summary

This dataset will help you to develop a machine learning-based model to predict the pathogenic variants (Positive labels) by utilizing their amino acid sequences.

Used as an example to benchmark _biomerida_ as part of the Bio-Hakathon Mena region