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We survey and discuss issues required of intelligent systems to support research efforts in locus mapping. In particular we focus on the issues of order, on how one can automate the reasoning processes of ordering, and the database structures required to support orders, including ambiguity and uncertainty. We conclude with a summary of work to be done.
This paper describes the application of a probabilistic neural network (PNN) to the classification of normal human chromosomes. The inputs to the network are 30 different features extracted from each chromosome in digitized images of metaphase spreads. The output is 1 of 24 different classes of chromosomes (the 22 autosomes plus the sex chromosomes X and… (More)
We show how computer simulation may be a useful tool for analysing the feasibility of DNA computers. We rst present a review of DNA-DNA renaturation in the context of DNA separation reactions, and identify the key chemical parameters for these reactions. We then present an application of the discrete lattice gas technique to simulations of these reactions,… (More)