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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: J Comp Neurol. 2013 Nov;521(16):3614–3665. doi: 10.1002/cne.23404

Figure 4.

Figure 4

Phylo-gene expression trees using Pvclust on different similarity measures (Distance-Correlation vs. Euclidean-Distance) and processing of gene expression data (normalized vs. discretized). A: Distance correlation tree using normalized gene expression data scaled between 0–1. B: Distance-Correlation tree using discretized gene expression data into three levels (0, 1, 2). C: Euclidean-Distance tree using normalized gene expression data scaled between 0–1. D: Euclidean distance tree using discretized gene expression data into three levels (0, 1, 2). Values inside nodes represent the strongest (1) to the weakest (21) similarity; values outside are bootstrap supports (BS, green) and approximate unbiased (AU, red) probabilities. Branches boxed in red represent the deepest node that brings regions together at 95–100 AU support (equivalent to P < 0.05).