I have noticed that when I apply NMF to log2 transformed gene expression data for classification purpose the result are different than if I first do an exponential transformation of the same data matrix. Also, test statistics increase after exponential transformation.

I know that NMF is not applicable to scaled data, which contains negative values, but I am not sure what is the explanation for this observation and appreciate if someone could clarify on this issue.

Regards,