Utilizing Multiple Types of Features for Protein Classification!

Utilizing Multiple Types of Features for Protein Classification!

Most of the current and standard approaches utilized for the endeavor of classifying proteins rely on recurrent neural networks being used…

Most of the current and standard approaches utilized for the endeavor of classifying proteins rely on recurrent neural networks being used on protein sequences; these networks then predict protein classification. However, this particular project was done with the intent of trying to see if we could use other easily attainable features to aid with prediction. The results suggest that there is plentiful room to improve.

data-science tensorflow deep-learning machine-learning bioinformatics

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