Decoding HMMs using the k best paths: algorithms and applications

Author:

Brown Daniel G,Golod Daniil

Publisher

Springer Science and Business Media LLC

Subject

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

Reference14 articles.

1. Krogh A: Two methods for improving performance of a HMM and their application for gene finding. Proceedings of ISMB 1997, 179–186.

2. Brejova B, Brown D, Vinar T: The most probable labeling problem in HMMs and its application to bioinformatics. Proceedings of WABI 2004, 426–437.

3. Kall L, Krogh A, Sonnhammer E: An HMM posterior decoder for sequence feature prediction that includes homology information. Bioinf 2005, 21: i251-i257. 10.1093/bioinformatics/bti1014

4. Fariselli P, Martelli P, 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

5. Kall L, Krogh A, Sonnhammer E: A combined transmembrane topology and signal peptide prediction method. J Mol Biol 2004, 338(5):1027–1036. 10.1016/j.jmb.2004.03.016

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