Hidden Markov Models

Authors

  • Mihaela IANCU Dept. of Medical Informatics and Biostatistics, University of Medicine and Pharmacy „Iuliu Haţieganu” Cluj-Napoca

Keywords:

Hidden Markov models, Forward and backward algorithms, Viterbi algorithm, Multiple sequence alignment, Protein modeling.

Abstract

Hidden Markov models (HMMs) are a highly effective means of modeling a family of unaligned sequences or a common motif within a set of unaligned sequences. The trained HMM can then be used for discrimination or multiple alignment.

Published

30.05.2011

How to Cite

1.
IANCU M. Hidden Markov Models. Appl Med Inform [Internet]. 2011 May 30 [cited 2024 Dec. 21];11(3, 4):54-8. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/260

Issue

Vol. 11 No. 3, 4 (2002)

Section

Articles

License

 Creative Commons License
All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.