Complexity and biology
Michael White discusses the status quo in modeling complex biological systems:
There is a lot of biology tourism by some computational people who really are doing fact-free science. They are happy if they can successfully use their model to number-crunch some data set (typically the other half of the single dataset they used to train their model); they declare victory and say that their success means that some grand idea (typically untested, if not untestable) that motivated their model has been vindicated.
Read the whole thing.
May 25th, 2010 • Comments Off • Tags: complexity, modeling, networks, systemsbiology •