Modeling chromatin state from sequence across angiosperms using recurrent convolutional neural networks
Abstract Accessible chromatin regions are critical components of gene regulation but modeling them directly from sequence remains challenging, especially within plants, whose mechanisms of chromatin remodeling are less understood than in animals. We trained an existing deep‐learning architecture, Da...
Main Authors: | Travis Wrightsman, Alexandre P. Marand, Peter A. Crisp, Nathan M. Springer, Edward S. Buckler |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-09-01
|
Series: | The Plant Genome |
Online Access: | https://doi.org/10.1002/tpg2.20249 |
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