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Johaimen Omar

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Open access Aug 2026

Attention-Enhanced Bi-LSTM Ensembles with Frozen ESM-2 Embeddings Achieve Competitive Performance in Protein Subcellular Localization

Attention weight analysis shows the model identifies biologically relevant signals, including C-terminal membrane regions and N-terminal mitochondrial sequences, confirming that ESM-2 embeddings enable effective performance with simplified architectures.

Johaimen Omar · 0 citations

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