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- W4387346562 abstract "For training and testing enhancer-promoter interaction (EPI) classifiers, the question on which non-positive EPIs are selected as negative instances must be answered. Most previous methods use the dataset of the EPI classifier TargetFinder where negative EP pairs are sampled from non-positive EP pairs. Consequently, over 92% of EPIs in the TargetFinder-positive and negative sets of cell line GM12878 have a 2-fold or greater positive/negative class imbalance of promoter occurrences between the positive and negative EP pairs. This situation negatively impacts the predictability of EPI classifiers trained using the datasets." @default.
- W4387346562 created "2023-10-05" @default.
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- W4387346562 date "2023-09-03" @default.
- W4387346562 modified "2023-10-06" @default.
- W4387346562 title "CBOEP: Generating negative enhancer-promoter interactions to train classifiers" @default.
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- W4387346562 doi "https://doi.org/10.1145/3584371.3612997" @default.
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