Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification

Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification

Using a generalized-clique hidden Markov model (HMM) as the starting point for a eukaryotic gene finder, the objective here is to strengthen the signal information at the transitions between coding and non-coding (c/nc) regions. This is done by enlarging the primitive hidden states associated with i...

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Bibliographic Details
Main Author: Baribault, Carl
Format: Others
Published: ScholarWorks@UNO 2009
Subjects:
hidden Markov model
HMM
GHMM
gene finding
gene prediction
Online Access:http://scholarworks.uno.edu/td/1098
http://scholarworks.uno.edu/cgi/viewcontent.cgi?article=2079&context=td

Internet

http://scholarworks.uno.edu/td/1098
http://scholarworks.uno.edu/cgi/viewcontent.cgi?article=2079&context=td

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