GeneNSPCla uses negative sequential patterns mined by GONPM+ to add absence signals to viral genome features, raising average classifier accuracy by 10% over prior negative mining and 25% over positive mining.
Detection of a SARS-CoV-2 variant of concern in south africa.Nature, 592(7854):438–443
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Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
GeneNSPCla uses negative sequential patterns mined by GONPM+ to add absence signals to viral genome features, raising average classifier accuracy by 10% over prior negative mining and 25% over positive mining.