Article

Oncogene and Tumor Suppressor Gene Classification Using Protein Language Model Embeddings and a Novel Optimization Strategy

2026-03-11

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Recent advances in protein language models (PLMs) and deep representation learning have enabled the creation of highly informative embeddings of protein sequences. Accurate classification of oncogenes and tumor suppressor genes (TSGs) from these embeddings has the potential to reveal biologically meaningful patterns relevant to cancer biology. <bold>Methods...

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Literature Corpus work: 02137e0f-d665-5180-8984-4e600387679d
DOI: 10.21203/rs.3.rs-9066725/v1

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