E. Granjeon

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We describe in this paper a neural network method for the detection of compositional constraints in introns and exons. The first part of the algorithm (learning phase) consisted in presenting examples of intron and exon sequences to the network and in modifying its connections using the back-propagation algorithm. Previous connectionist methods achieved the(More)
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