Hidden Markov Models for Human Genes
Baldi, Pierre, Brunak, Søren, Chauvin, Yves, Engelbrecht, Jacob, Krogh, Anders
–Neural Information Processing Systems
We apply HMMs to the problem of modeling exons, intronsand detecting splice sites in the human genome. Our most interesting result so far is the detection of particular oscillatory patterns,with a minimal period ofroughly 10 nucleotides, that seem to be characteristic of exon regions and may have significant biological implications.
Neural Information Processing Systems
Dec-31-1994
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- North America > United States > California > San Francisco County > San Francisco (0.14)
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