FIGURE 8.

Principal component analysis (PCA) and hierarchical clustering illustrating the relationship between tree shrew, macaque, ferret and rat/mouse neocortex development. (A) Cluster plot by PCA using z-transformed values of distinct parameters of tree shrew, macaque, ferret and rat/mouse neocortex development (Table 2). (B) Heatmap showing hierarchical clustering of z-transformed values of distinct parameters of neocortex development between tree shrew, macaque, ferret and rat/mouse (Table 2). Hierarchical clustering of columns was performed based on Euclidean distance. Rows were sorted in order of increasing distance between the parameters of tree shrew and macaque from top to bottom. Row numbers refer to neurodevelopmental parameters as listed in Table 2. UL, upper layer; DL, deep layer. (A,B) For details, see Section “Materials and Methods.”