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Explainable multiscale representation learning for anticancer peptide prediction
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DOI：10.1016/j.engappai.2026.113827.png)
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Abstract
En 中文
• Proposed a multiscale representation learning for sequence data mining. • ACP-BHM has strong generalization and shows excellence in different datasets. • ACP-BHM can recognize the effective motifs of ACPs by attention mechanism. • ACP-BHM can focus on secondary structure in ACPs by using AlphaFold2 prediction.
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