Abstract
A probabilistic model is presented to predict whether or not an anonymous sequence of DNA contains exons. The method is shown to be at least as reliable as Grail, a well-known neural network solution to the problem, and to be significantly more amenable to customization for specific prediction problems.
Keywords
Salt lakeProbabilistic logicCoding (social sciences)Ancient DNALibrary scienceBiologyComputer scienceSociologyDemographyMathematicsStatisticsArtificial intelligencePopulation
Affiliated Institutions
Related Publications
Publication Info
- Year
- 1994
- Type
- article
- Volume
- 11
- Issue
- 3
- Pages
- 149-160
- Citations
- 83
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
83
OpenAlex
Cite This
Alun Thomas,
Mark H. Skolnick
(1994).
A probabilistic model for detecting coding regions in DNA sequences.
Mathematical Medicine and Biology A Journal of the IMA
, 11
(3)
, 149-160.
https://doi.org/10.1093/imammb/11.3.149
Identifiers
- DOI
- 10.1093/imammb/11.3.149