Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space

We develop an hidden Markov model (HMM)-based algorithm for computing exact parametric and non-parametric linkage scores in larger pedigrees than was possible before. The algorithm is applicable whenever there are chains of persons in the pedigree with no genetic measurements and with unknown affect...

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Detalles Bibliográficos
Autores principales: Geiger, Dan, Meek, Christopher, Wexler, Ydo
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Ismb/Eccb 2009 Conference Proceedings June 27 to July 2, 2009, Stockholm, Sweden
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687978/
https://www.ncbi.nlm.nih.gov/pubmed/19477987
http://dx.doi.org/10.1093/bioinformatics/btp224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687978/
https://www.ncbi.nlm.nih.gov/pubmed/19477987
http://dx.doi.org/10.1093/bioinformatics/btp224

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