Training HMM Structure with Genetic Algorithm for Biological Sequence Analysis
Motivation : Hidden Markov Models (HMMs) are widely used for biological sequence analysis because of their ability to incorporate biological information in their structure. An automatic means of optimising the structure of HMMs would be highly desirable. However, this raises two important issues; fi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2004-12.
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Subjects: | |
Online Access: | Get fulltext |