Hiroyuki Yamamoto

OAC-PCA: orthogonal adjustment of confounding effects in principal component analysis for metabolomics data mining

OAC-PCA improves PCA for metabolomics by ensuring orthogonal components and correlation-based loadings, enabling better statistical analysis of metabolite associations with confounding factors.

Unraveling anti-inflammatory metabolic signatures of Glycyrrhiza uralensis and isoliquiritigenin through multiomics

This study uses multiomics to analyze the anti-inflammatory effects of Glycyrrhiza uralensis and isoliquiritigenin in macrophages, identifying metabolic and phosphorylation changes associated with inflammation suppression.

Multiset partial least squares with rank order of groups for integrating multi-omics data

This paper introduces multiset PLS-ROG for integrating multi-omics data, clarifies its statistical properties, and provides an R package for implementation.