"ARGai 1.0: A GAN augmented in silico approach for identifying resistant ..."

Debasish Swapnesh Kumar Nayak et al. (2025)

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DOI: 10.1016/J.COMPBIOLCHEM.2025.108342

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type: Journal Article

metadata version: 2025-03-03

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Debasish Swapnesh Kumar Nayak, Ruchika Das, Santanu Kumar Sahoo, Tripti Swarnkar:
ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer. Comput. Biol. Chem. 115: 108342 (2025)

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