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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...

詳細記述

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書誌詳細
主要な著者: Geiger, Dan, Meek, Christopher, Wexler, Ydo
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2009
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2687978/
https://ncbi.nlm.nih.gov/pubmed/19477987
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp224
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