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. Author manuscript; available in PMC: 2017 Apr 19.
Published in final edited form as: Cell Rep. 2017 Mar 14;18(11):2592–2599. doi: 10.1016/j.celrep.2017.02.048

Figure 3. Principal component analysis (PCA) of biochemical data reveals biochemical separation between G6PD variant classes.

Figure 3

See also Table S3.

A) Representation of data vectors used for PCA. Normalized median curves of kinetic and biochemical measurements for each G6PD variant are shown in black (wild-type), red (class I), orange (class II), yellow (class III), or green (predicted class IV).

B) Biochemical characterization of 13 G6PD variants projected onto PC 1 and 2.

C,D) Values of principal components (PC) 1 (C) and 2 (D), which represent correlation and anticorrelation, respectively, between activity and stability.