A color and distance modified DNA-walk encoding, classified by pretrained CNNs, reaches 90.8% binary accuracy on phage virion proteins with Monte Carlo Dropout uncertainty estimates.
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ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
A color and distance modified DNA-walk encoding, classified by pretrained CNNs, reaches 90.8% binary accuracy on phage virion proteins with Monte Carlo Dropout uncertainty estimates.