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...s 22283 x 8. The 8 samples have 4 controls and 4 experimentals. I transposed the matrix so that its dim are 8 x 22283, and called that "allt." Using the normalize() function from som library, I scaled the data to have mean zero and variance 1. allt.som <- som(allt, xdim=5, ydim=5, topol="hexa", neigh="bubble", alpha=1) plot(allt.som) What I cannot figure out how to do is how to determine where each sample has clustered, since the plot that i'm using does not include labels...I also tried str(allt.som) but cannot determine which attribute calls where each...