In practice, we need two classifiers, one from microdissected tumor samples, the other from macrodissected tumor samples. Hence we can predicted microdissected samples by microdissected classifier, and macrodissected samples by macrodissected classifier.
Q: Is it not good to predicted microdissected samples by macrodissected classifier?
Answer: NOT good, confirmed.
Q: Really? It could also be due to population bias between training set and test set?
Answer: Not because of population bias
Q: it may be okay to predict macrodissected samples by microdissected classifier.?
Answer: NO, the other way around isn't work either.
check with breast cancer datasets.
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