YuWang28/acPCoA: Adjustment for Confounding Factors using Principal Coordinate Analysis

AC-PCoA is a method proposed by Yu Wang etc., which reduces the data dimension while extracting the information from different distance measures using principal coordinate analysis (PCoA), and adjusts the confounding factors across multiple data sets by minimizing the associations between the lower dimensional representations and the confounding variables. Application of the proposed method is further extended to the scenario of classification and prediction.

install.packages("remotes")
remotes::install_github("YuWang28/acPCoA")