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ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer

Debasish Swapnesh Kumar Nayak, Ruchika Das, Santanu Kumar Sahoo, Tripti Swarnkar

2025Computational Biology and Chemistry12 citationsDOI

Topics & Concepts

In silicoDeep learningArtificial intelligenceBenchmark (surveying)Computer scienceComputational biologyIdentification (biology)Machine learningBenchmarkingGenomicsGeneGenomeBiologyGeneticsBusinessMarketingGeodesyGeographyBotanyGenomics and Phylogenetic StudiesRNA and protein synthesis mechanismsMachine Learning in Bioinformatics
ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer | Litcius