TY - GEN
T1 - The application of model-based complexity inference method to molecular evolution analysis
AU - Ren, Fengrong
AU - Hiroshi, Tanaka
AU - Okayama, Toshitsugu
AU - Gojobori, Takashi
PY - 1998
Y1 - 1998
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84887807141&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887807141&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-896-0-367
DO - 10.3233/978-1-60750-896-0-367
M3 - Conference contribution
C2 - 10384480
AN - SCOPUS:84887807141
SN - 9051994079
SN - 9789051994070
T3 - Studies in Health Technology and Informatics
SP - 367
EP - 371
BT - MedInfo 1998 - 9th World Congress on Medical Informatics
PB - IOS Press
T2 - 9th World Congress on Medical Informatics, MedInfo 1998
Y2 - 18 August 1998 through 22 August 1998
ER -