AC-PCoA: Adjustment for confounding factors using principal coordinate analysis
Fig 4
A: Two-dimensional plots colored by reference sample IDs after conducting PCoA, AC-PCoA and aPCoA, using four distance measures. B: MANOVA F-statistic, NMI of k-means clustering, and classification accuracy. Reference samples IDs are set to be the true label. MANOVA test, k-means clustering, and classification were conducted on two and three principal coordinates from PCoA, AC-PCoA, and aPCoA.