An NLP-based method to mine gene and function relationships from published articles.

ABSTRACT: Understanding the intricacies of genes function within biological systems is paramount for scientific advancement and medical progress. Owing to the evolving landscape of this research and the complexity of biological processes, however, this task presents challenges. We introduce PATHAK, a natural language processing (NLP)-based method that mines relationships between genes and their functions from published scientific articles. PATHAK utilizes a pre-trained Transformer language model to generate sentence embeddings from a vast dataset of scientific documents. This enables the identification of meaningful associations between genes and their potential functional annotations. Our approach is adaptable and applicable across diverse scientific domains. Applying PATHAK to over 17,000 research

SUBMITTER: Kumar N 

PROVIDER: S-EPMC11876572 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature