Adversarial random forests for omics synthesis
C. J. K. Fouodo, Jan Kapar, Anke Hüls, Donghai Liang, Marvin N. Wright
This paper introduces h-ARF, a high-dimensional extension of adversarial random forests for generating synthetic omics data, showing improved performance in preserving feature distributions and downstream tasks.
bioRxiv · Sep 15, 2026 · PreprintBioinformatics