REDUCED RISK OF REVISION WITH COMPUTER-GUIDED VERSUS NON-COMPUTER-GUIDED THA


Local epigenomic state cannot discriminate interacting and non-interacting enhancer-promoter pairs with high accuracy.

We report an experimental design issue in recent machine learning formulations of the enhancer-promoter interaction problem arising from the fact that many enhancer-promoter pairs share features.Cross-fold validation schemes which do not correctly Vitamin B6 separate these feature sharing enhancer-promoter pairs into one test set report high accura

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