Article

Shift augmentation improves DNA convolutional neural network indel effect predictions

2025-04-11

Abstract excerpt

Determining genetic variant effects on molecular phenotypes like gene expression is a task of paramount importance to medical genetics. DNA convolutional neural networks (CNNs) attain state-of-the-art performance at predicting variant effects on gene regulation. However, most applications of such models focus on single nucleotide polymorphisms (SNPs), as technical challenges limit their application to insertions a...

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Literature Corpus work: 95c0303e-7248-5fff-bdb7-a45c7d06af34
DOI: 10.1101/2025.04.07.647656

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