Identification of key genes for fish adaptation to freshwater and seawater based on attention mechanism.

ABSTRACT: The evolutionary divergence of freshwater and marine fish reflects their adaptation to distinct ecological environments, with differences evident in their morphological traits, physiological functions, and genomic structures. Traditional molecular methods often fail to uncover the intricate regulatory relationships among genes under environmental stress. This study proposes the weighted attention gene analysis (WAGA) model, a novel approach that integrates natural language processing (NLP) for protein-coding gene feature representation with deep learning and self-attention (SA) mechanisms. WAGA effectively identifies key genes associated with sensory functions, osmoregulation, and growth and development on the basis of attention weights. The experimental results highlight its effectiveness

SUBMITTER: Qian S 

PROVIDER: S-EPMC12482023 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature