I have a database of 3190 instances of DNA consisting of 60 sequential DNA nucleotide positions classified according to 3 types: EI, IE, Other.
I want to formulate a supervised classifier.
My present approach is to formulate a 2nd order Markov Transition Matrix for each instance and apply the resulting data to a Neural Network.
How best to approach this classification problem, given that the Sequence of the data should be relevant? Is there a better approach than the one I came up with?