You might find these introductions to EAs useful: here,  and here.

You might also find this useful -- the main slides about Evolutionary Algorithms from a course I used to do at Exeter.

Here is the main original paper on proteomics data and Ovarian cancer: here.

This survey on data mining to find rules will also be good to read

Here is the ovarian cancer data!  The full data set is here  -- it is very large, 34Mb. There are 253 lines (253 different patients). Each one is a list of 15,154 values, ending with (field no 15,155) either the word "normal", or the word "cancer". In case it helps, I have split the file into several smaller files as follows. E.g. ov1-20 contains the first 20 patients, ov21-40 contains the next 20, and so on.

ov1-20, ov21-40, ov41-60, ov61-80, ov81-100, ov101-120, ov121-140, ov141-160, ov161-180, ov181-200, ov201-220, ov221-240, ov241-253

I am trying to find prostate data and other data, and will let you know.