A successful combination of FTIR and penalized discriminant method to distinguish wild grown G.lucidum from cultivated one.
Penalized discriminant models enabled an automatic selection of a small number of informative wavelengths for discrimination.
The Elastic net model outperformed the PCDA and PLSDA with reduced model complexity and excellent classification accuracy.
Results provided scientific evidence and interpretation of the major bioactive compounds in G.lucidum regarding its anti-cancer effects.