Hidden Markov Models for Human Genes

Abstract

Human genes are not continuous but rather consist of short cod(cid:173) ing regions (exons) interspersed with highly variable non-coding regions (introns). We apply HMMs to the problem of modeling ex(cid:173) ons, introns and detecting splice sites in the human genome. Our most interesting result so far is the detection of particular oscilla(cid:173) tory patterns, with a minimal period ofroughly 10 nucleotides, that seem to be characteristic of exon regions and may have significant biological implications.

Cite

Text

Baldi et al. "Hidden Markov Models for Human Genes." Neural Information Processing Systems, 1993.

Markdown

[Baldi et al. "Hidden Markov Models for Human Genes." Neural Information Processing Systems, 1993.](https://mlanthology.org/neurips/1993/baldi1993neurips-hidden/)

BibTeX

@inproceedings{baldi1993neurips-hidden,
  title     = {{Hidden Markov Models for Human Genes}},
  author    = {Baldi, Pierre and Brunak, Søren and Chauvin, Yves and Engelbrecht, Jacob and Krogh, Anders},
  booktitle = {Neural Information Processing Systems},
  year      = {1993},
  pages     = {761-768},
  url       = {https://mlanthology.org/neurips/1993/baldi1993neurips-hidden/}
}