Name
Title | ||
|---|---|---|
The application of model-based complexity inference method to molecular evolution analysis. |
Abstract | ||
|---|---|---|
In this study, a new method based on the concept of complexity in inductive inference is proposed for reconstructing molecular phylogenetic tree. This method describes the complexity of molecular phylogenetic tree by three terms, which are related to tree topology, the branch lengths and fitness between the model and data measured by likelihood function. The computer simulation is used to investigate the efficiency of this method. The results suggest that this method is superior to the traditional methods because it avoids excess-complexity in the tree model estimation available from DNA sequence. |
Year | Venue | Keywords |
|---|---|---|
1998 | Studies in Health Technology and Informatics | molecular phylogenetic tree,minimum model-based complexity method,maximum likelihood method |
Field | DocType | Volume |
Data mining,Inference,Molecular evolution,Medicine | Conference | 52 |
ISSN | Citations | PageRank |
0926-9630 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| F Ren | 1 | 0 | 0.34 |
| T Hiroshi | 2 | 0 | 0.34 |
| T Okayama | 3 | 9 | 2.45 |
| T Gojobori | 4 | 0 | 0.34 |