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Abstract Details
Abstract  #309256 
Title:

WITHDRAWN  Markov Chain Likelihood in Long Binary Sequence Data

Author(s):

Jianping Sun and Bruce G. Lindsay

Companies:


Address:


Keywords:

Statistical Genetics ;
Markov Chain Likelihood ;
Ancestral Distribution

Abstract:

The primary goal of this talk is the analysis of long sequence data generated in biology, such as SNP data. Suppose we observe n current descendant sequences of length L, one interesting question is how to estimate the unknown ancestral distribution considering realistic biology complexities such as mutation and recombination. We have developed a statistical model with both mutation and recombination to estimate the ancestral distribution. However, though we can write out the full likelihood for ancestral distribution explicitly, there is an enormous computation challenge due to an enormous number of recombination possibilities, which grows exponentially in sequence length. Therefore, we apply Markov Chain likelihood as an approximation to solve the problem. In this talk, we'll introduce our developed statistical model and investigate the performance of Markov Chain likelihood method.

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