One day I found a book about
'genetic programming' in a colleague's office and I wondered if I could use this (the answer was
no) to discover a mathematical way how to describe the signal from BAC clones spotted on a
CGH array. Note that 'genetic programming' is different from 'genetic algorithms': in the first one there is a mathematical function which evolve whereas this is a popolulation of data in the second one. See
http://www.geneticprogramming.com/Tutorial/ for a tutorial about Genetic Programming.
So I wrote a C++ program that took as input a table of result, a list of expected number and I trained a mathematical function to evolve with those data:
This
SVG figure shows nine steps of the evolution process. In each setp, on the X axis are displayed the expected values and the experimental values (calculated from the evolving methematical function) are on the Y axis. The program stopped when a defined
fitness was reached. Fun to write.
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