Benchmarking ensemble and deep learning models for drought-responsive gene prioritisation in rice using multi-omics data

Identifying drought-responsive genes is critical for climate-resilient crop breeding, yet computational gene–trait association often relies on single-omics or generalized genomic datasets. Optimal algorithm selection for high-dimensional, small multi-omics datasets also remains a persistent challen