Are Profile Hidden Markov Models Identifiable?-Reference-Cited by-同舟云学术

Are Profile Hidden Markov Models Identifiable?

Published:2018-08-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
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Author:

Pattabiraman Srilakshmi¹,Warnow Tandy¹

Affiliation:

1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3233547.3233563

Reference25 articles.

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2. Elizabeth S Allman Catherine Matias and John A Rhodes . 2009. Identifiability of parameters in latent structure models with many observed variables. The Annals of Statistics (2009) 3099--3132. Elizabeth S Allman Catherine Matias and John A Rhodes . 2009. Identifiability of parameters in latent structure models with many observed variables. The Annals of Statistics (2009) 3099--3132.

3. Joseph T Chang . 1996. Full reconstruction of Markov models on evolutionary trees: identifiability and consistency. Mathematical biosciences Vol. 137 1 (1996) 51--73. Joseph T Chang . 1996. Full reconstruction of Markov models on evolutionary trees: identifiability and consistency. Mathematical biosciences Vol. 137 1 (1996) 51--73.

4. Richard Durbin Sean R Eddy Anders Krogh and Graeme Mitchison . 1998. Biological sequence analysis: probabilistic models of proteins and nucleic acids. Cambridge university press. Richard Durbin Sean R Eddy Anders Krogh and Graeme Mitchison . 1998. Biological sequence analysis: probabilistic models of proteins and nucleic acids. Cambridge university press.

5. Ingo Ebersberger Sascha Strauss and Arndt von Haeseler . 2009. HaMStR: profile hidden Markov model based search for orthologs in ESTs. BMC evolutionary biology Vol. 9 1 (2009) 157. Ingo Ebersberger Sascha Strauss and Arndt von Haeseler . 2009. HaMStR: profile hidden Markov model based search for orthologs in ESTs. BMC evolutionary biology Vol. 9 1 (2009) 157.

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