Halder, A., Samantaray, S., Barbade, S., Gupta, A., & Srivastava, S. (2025). DrugProtAI: A machine learning–driven approach for predicting protein druggability through feature engineering and robust partition-based ensemble methods. Briefings in Bioinformatics, 26(4), 1. https://doi.org/10.1093/bib/bbaf330
Chicago Style (17th ed.) CitationHalder, Ankit, Sabyasachi Samantaray, Sahil Barbade, Aditya Gupta, and Sanjeeva Srivastava. "DrugProtAI: A Machine Learning–driven Approach for Predicting Protein Druggability Through Feature Engineering and Robust Partition-based Ensemble Methods." Briefings in Bioinformatics 26, no. 4 (2025): 1. https://doi.org/10.1093/bib/bbaf330.
MLA (9th ed.) CitationHalder, Ankit, et al. "DrugProtAI: A Machine Learning–driven Approach for Predicting Protein Druggability Through Feature Engineering and Robust Partition-based Ensemble Methods." Briefings in Bioinformatics, vol. 26, no. 4, 2025, p. 1, https://doi.org/10.1093/bib/bbaf330.