Name
Title | ||
|---|---|---|
Pseudo-Likelihood Analysis of Codon Substitution Models with Neighbor-Dependent Rates. |
Abstract | ||
|---|---|---|
Recently, Markov processes for the evolution of coding DNA with neighbor dependence in the instantaneous substitution rates have been considered. The neighbor dependency makes the models analytically intractable, and previously Markov chain Monte Carlo methods have been used for statistical inference. Using a pseudo-likelihood idea, we introduce in this paper an approximative estimation method which is fast to compute. The pseudo-likelihood estimates are shown to be very accurate, and from analyzing 348 human-mouse coding sequences we conclude that the incorporation of a CpG effect improves the fit of the model considerably. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1089/cmb.2005.12.1166 | JOURNAL OF COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
codon model,neighbor dependence,CpG effect,EM,algorithm,maximum likelihood,pseudo-likelihood | Markov process,Markov chain Monte Carlo,Coding (social sciences),Artificial intelligence,Statistical inference,Monte Carlo method,Pattern recognition,Expectation–maximization algorithm,Markov chain,Algorithm,Models of DNA evolution,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
12.0 | 9 | 1066-5277 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ole F. Christensen | 1 | 0 | 0.34 |
| Asger Hobolth | 2 | 15 | 3.79 |
| Jens Ledet Jensen | 3 | 65 | 5.43 |