Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory
Open Access
- 30 April 2008
- journal article
- Published by Springer Science and Business Media LLC in BMC Bioinformatics
- Vol. 9 (1), 224
- https://doi.org/10.1186/1471-2105-9-224
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Duration learning for analysis of nanopore ionic current blockadesBMC Bioinformatics, 2007
- Cheminformatics methods for novel nanopore analysis of HIV DNA terminiBMC Bioinformatics, 2006
- What HMMs Can DoIEICE Transactions on Information and Systems, 2006
- Discrimination among individual Watson-Crick base pairs at the termini of single DNA hairpin moleculesNucleic Acids Research, 2003
- Rapid discrimination among individual DNA hairpin molecules at single-nucleotide resolution using an ion channelNature Biotechnology, 2001
- Reduced space hidden Markov model training.Bioinformatics, 1998
- Biological Sequence AnalysisPublished by Cambridge University Press (CUP) ,1998
- Reduced space sequence alignmentBioinformatics, 1997
- A linear space algorithm for computing maximal common subsequencesCommunications of the ACM, 1975
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov ChainsThe Annals of Mathematical Statistics, 1970