Article

Multi-Label Protein Subcellular Localization Using Graph Attention and Self-Attention-Based Feature Recalibration

2025-06-12

Abstract excerpt

Accurately predicting protein subcellular localization is essential for understanding biological function and informing medical research. To address the limitations of traditional laboratory techniques, this study introduces two deep learning frameworks-ML-FGAT and ML-GRat-for multi-label protein subcellular localization (ML-PSL). ML-FGAT integrates seven diverse feature encoding schemes-DC, PsePSSM, CTD, GO, CT,...

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Literature Corpus work: 70752603-4b04-5812-bc84-b9990b8eb500
DOI: 10.22541/au.174975700.07107367/v1

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