Principal component analysis (PCA) is a popular dimension reduction method to reduce the complexity and obtain the informative aspects of high-dimensional datasets. When the data distribution is skewe
The columns indicate the principal component affected and whether the contribution is positive or negative (e.g. PC1- contributes to a more negative outcome). The rows correspond to individual lipid s
