EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations

EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations

Abstract Deep neural networks (DNNs) hold promise for functional genomics prediction, but their generalization capability may be limited by the amount of available data. To address this, we propose EvoAug, a suite of evolution-inspired augmentations that enhance the training of genomic DNNs by incre...

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Bibliographic Details
Main Authors: Nicholas Keone Lee, Ziqi Tang, Shushan Toneyan, Peter K. Koo
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Genome Biology
Subjects:
Deep learning
Regulatory genomics
Data augmentations
Model interpretability
Online Access:https://doi.org/10.1186/s13059-023-02941-w

Internet

https://doi.org/10.1186/s13059-023-02941-w

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