Predicting HIV-1 Protease Cleavage Sites With Positive-Unlabeled Learning.

Front Genet · 2021 · PMC8044780 · PMID 33868387

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may be significantno p-value reported

Considering the different performance of PU-HIV on these datasets, there may be significant effects from using different feature encoding methods when we train PU-HIV on a particular dataset.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.