DNA sequence pattern identification using a combination of neuro-fuzzy predictors

We address the prediction of the gene structure using a new method and tools, involving the sequence of distances between bases and neuro-fuzzy predictors. The method is tested on the HIV virus genome and the results look promising compared to other methods. We suggest that new, global prediction methods based on implicit, not explicit knowledge, may be as strong as the current, largely explicit knowledge based prediction methods.