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Factor·arcadia

Nonlinear genomic prediction models

Models capturing nonlinear interactions such as epistasis (e.g., autoencoders, transformers, graph neural networks)

Confidence
90%
active

Source

Audrey Bell et al. (2025). Predicting antimicrobial resistance phenotypes across 7,000 E. coli genomes doi:10.57844/arcadia-8391-465f ↗

Connections (1)

Nonlinear models outperform linear models with epistasis or GxEAssociation