New decoding algorithms for Hidden Markov Models using distance measures on labellings

Author:

Brown Daniel G,Truszkowski Jakub

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference11 articles.

1. Krogh A: Two Methods for Improving Performance of a HMM and their Application for Gene Finding. Proceedings of ISMB 1997. 1997, AAAI Press, 179-186.

2. Käll L, Krogh A, Sonnhammer EL: A Combined Transmembrane Topology and Signal Peptide Prediction Method. Journal of Molecular Biology. 2004, 338 (5): 1027-1036. 10.1016/j.jmb.2004.03.016.

3. Durbin R, Eddy S, Krogh A, Mitchison G: Biological sequence analysis. Probabilistic models of proteins and nucleic acids. 1998, Cambridge University Press

4. Käll L, Krogh A, Sonnhammer ELL: An HMM posterior decoder for sequence feature prediction that includes homology information. Bioinformatics. 2005, 21: 251-257. 10.1093/bioinformatics/bti1014.

5. Fariselli P, Martelli PL, Casadio R: A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins. BMC Bioinformatics. 2005, 6: 10.1186/1471-2105-6-S4-S12.

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