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Fig. 2 | BioData Mining

Fig. 2

From: A biplot correlation range for group-wise metabolite selection in mass spectrometry

Fig. 2

a A data model was created for 200 samples, each with 1000 measured variables. The model has three layers of interaction of variables x that contribute to the response Y. Layer 1 contains 30 variables, including eight strong variables (x1 to x8) and other group-wise variables (x9 to x30). Each of the variables in Layer 1 is determined by three variables in Layer 2, and each in Layer 2 by three variables in Layer 3. The remaining 610 variables are randomly assigned. b Two strong variables, x1 and x5, individually separate the two labels of response Y. c Two strong variables, x9 and x10, jointly separate the two labels of response Y. (d) Three variables x9, x10, and x11 in Layer 1, jointly separate the two labels of response Y

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