PALAR: Estimation of Absolute Abundance Effects in Regression with Relative Abundance Predictors
PALAR：用相对丰度预测变量估计绝对丰度回归效应
High-dimensional compositional data are ubiquitous in omics research. Microbiome sequencing experiments measure the relative abundances (proportions) of microbial features, while the absolute abundances within the ecosystem remain unobserved. Most regression methods with microbial relative abundance predictors rely on log-ratio transformations and typically impose sparsity on the regression coefficients to manage high dimensionality. However, we show that the sparsity…