How to balance the bioinformatics data: pseudo-negative sampling
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DOI: 10.1186/s12859-019-3269-4
Abstract: Imbalanced datasets are commonly encountered in bioinformatics classification problems, that is, the number of negative samples is much larger than that of positive samples. Particularly, the data imbalance phenomena will make us underestimate the performance… read more here.
Keywords: positive samples; pseudo negative; negative sampling; negative samples ... See more keywords