AC-PCoA: Adjustment for confounding factors using principal coordinate analysis
Fig 5
A: Two-dimensional representations of samples colored by cell types after conducting PCoA, AC-PCoA and aPCoA using four distance measures. B: MANOVA F-statistic, NMI of k-means clustering, and classification accuracy. Cell types are set to be the true labels. MANOVA, k-means clustering, and classification were conducted on two and three principal coordinates from PCoA, AC-PCoA, and aPCoA.