I am now doing a project about cancer detection in matlab.
I've got 120 samples which have classified as tumor or normal cells from patients.
For each sample, there is 19200 parameters which are gene information of the cell.
My objective is to find the best combination of parameters to classify the sample whether it is tumor or normal.
I have already use t-test in matlab to pick out about five hundreds of parameters that is significant. But I want to further reduce the number of parameters to below one hundred. How can I do this in matlab ? thanks very much
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