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Article

Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models

2016-02-09

Abstract excerpt

With the rapid production of high dimensional genetic data, one major challenge in genome-wide association studies is to develop effective and efficient statistical tools to resolve the low power problem of detecting causal SNPs with low to moderate susceptibility, whose effects are often obscured by substantial background noises. Here we present a novel method that serves as an optimal technique for reducing back...

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Literature Corpus work
31ad8d0c-0142-54c0-a190-ff99fe41313a
DOI
10.1101/039099
Open publication

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Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov ModelsDOI 10.1101/039099
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