All I had a quick question about how you might best solve a classification problem. I have some ideas, but wanted to run it by the group to see their thoughts. I have animal data containing different doses of a substance and also have multiple time points for each dose (with replicates). I am interested in classifying the samples based on dose amount. I am experimenting with non-linear techniques like neural nets, etc. Now this problem is striaght forward if you have only one time point per dose, just group similar doses together and train the network. But its alittle more tricky with multiple time points. What do you think is the best way to fully utilize all the data for dosage classification. How would you use/incorporate the mulitple time points? Thanks Tom