M, A., D, G., P, Z., BR, C., RT, C., G, C., & GE, K. (2024). ML-GAP: Machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation. Frontiers in genetics, 15, 1442759. https://doi.org/10.3389/fgene.2024.1442759
Chicago Style (17th ed.) CitationM, Agraz, Goksuluk D, Zhang P, Choi BR, Clements RT, Choudhary G, and Karniadakis GE. "ML-GAP: Machine Learning-enhanced Genomic Analysis Pipeline Using Autoencoders and Data Augmentation." Frontiers in Genetics 15 (2024): 1442759. https://doi.org/10.3389/fgene.2024.1442759.
MLA (9th ed.) CitationM, Agraz, et al. "ML-GAP: Machine Learning-enhanced Genomic Analysis Pipeline Using Autoencoders and Data Augmentation." Frontiers in Genetics, vol. 15, 2024, p. 1442759, https://doi.org/10.3389/fgene.2024.1442759.