HILAMA: High-dimensional multi-omic mediation analysis with latent confounding
Xinbo Wang, Junyuan Liu, Shengen Shawn Hu, Zhonghua Liu, Hui Juan Lu, Lin Liu, and for the Alzheimer’s Disease Neuroimaging Initiative
HILAMA is a method for high-dimensional mediation analysis with latent confounding, showing improved FDR control and power in simulations and applied to ADNI proteomics-radiomics data.
BMC Medical Research Methodology · Oct 24, 2025Peer-reviewedBioinformatics