Author

Marvin N. Wright

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Open access Sep 2026

Adversarial random forests for omics synthesis

High-dimensional ARF (h-ARF), an extension of ARF optimized for integrated clinical and high-dimensional omics data, is introduced, showing that h-ARF better preserves both feature distributions, and downstream clustering and prediction utilities compared with ARFs.

C. Fouodo, J. Kapar, Anke Hüls et al. · bioRxiv · 0 citations

Open access Jul 2026

How can we best predict energy expenditure in preschoolers? A comparison of machine learning models, METs computation and physical activity classification

Results indicated that the newly developed models from Objective 1 produced significantly different estimates of time spent in SED, LPA, MVPA, and TPA compared to both previously published models and other existing METs-based models, highlighting the impact of different approaches to calculating METs.

Hannah J. Coyle-Asbil, Katarina Osojnicki, Christoph Buck et al. · Physiological Measurement · 0 citations