DocumentCode :
3252015
Title :
Deterministic sequential Monte Carlo for haplotype inference
Author :
Soyeon Ahn ; Vikalo, Haris
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
64
Lastpage :
64
Abstract :
A single individual haplotype reconstruction algorithm based on a deterministic sequential Monte Carlo method is proposed. The method sequentially estimates the true haplotype including phase information while using fewer variables and particles than what is typically required by the traditional SMC methods. Simulation results demonstrate higher accuracy of the proposed technique as compared to state-of-the art single individual haplotyping methods.
Keywords :
Monte Carlo methods; genetics; sequential estimation; deterministic sequential Monte Carlo method; haplotype inference; haplotype reconstruction algorithm; haplotyping methods; phase information; sequential estimation; Algorithm design and analysis; Error probability; Monte Carlo methods; Proposals; Reconstruction algorithms; Sequential analysis; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736813
Filename :
6736813
Link To Document :
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