H, F. (2026). Protein language model embeddings improve HIV drug resistance prediction: A comprehensive benchmark with attention-based interpretability. Bioinformatics (Oxford, England), 42(5), . https://doi.org/10.1093/bioinformatics/btag260
Chicago Style (17th ed.) CitationH, Farquhar. "Protein Language Model Embeddings Improve HIV Drug Resistance Prediction: A Comprehensive Benchmark with Attention-based Interpretability." Bioinformatics (Oxford, England) 42, no. 5 (2026). https://doi.org/10.1093/bioinformatics/btag260.
MLA (9th ed.) CitationH, Farquhar. "Protein Language Model Embeddings Improve HIV Drug Resistance Prediction: A Comprehensive Benchmark with Attention-based Interpretability." Bioinformatics (Oxford, England), vol. 42, no. 5, 2026, https://doi.org/10.1093/bioinformatics/btag260.