BioinformaticsPatternsPeer-reviewed
Discovering nuclear localization signal universe through a novel deep learning model with interpretable attention units
Yifan Li, Xiaoyong Pan, Hong‐Bin Shen
This study introduces NLSExplorer, a deep learning model for identifying nuclear localization signals, showing improved performance on benchmark datasets and uncovering NLS patterns across 416 species.
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