you could use montecarlo to search for an effective compression of the input data. That's Singular Value Decomposition if I'm not mistaken. Dimensional Reductio

you could use montecarlo to search for an effective compression of the input data. That's Singular Value Decomposition if I'm not mistaken. Dimensional Reduction is a hot topic in coding theory. Optimaly, understanding of the biologic process involved would certainly help here. DNA is thought to be higly compressed and self modifying, so a smaller encoding is unlikely. Therefore, seperation of the DNA sequences involved in the effect under scrutiny might fail on the possibly highly random inputs without good techniques and heuristics. Effectively, pre-processing could involve recompilation and all the techniques used in software analysis, only then live debugging is to be taken literal. Reduction to spectra can be used to achieve sparseness, that cover the error margin with probalistic precission including invariants and the mentioned external factors, maybe also data aquisition errors from cost effective (read cheap:) methods.