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Table 1 The correlation (R2) of the estimated haplotype frequencies with simulated population and sample haplotype frequencies across statistical methods and four conditions of LoDSNP (30%, 20%, 10%, 0%) and LoDMOI (15%, 10%, 5%, 0%)

From: Markov chain Monte Carlo Gibbs sampler approach for estimating haplotype frequencies among multiple malaria infected human blood samples

  MHF R-EM Bayesian EM MCMC Gibbs
Population haplotype (LoDSNP/LoDMOI)       
 0/0 0.949 0.913 0.955 0.977 0.973 0.961
 0.10/0.05 0.953 0.932 0.960 0.978 0.980 0.970
 0.20/0.10 0.962 0.949 0.960 0.977 0.981 0.975
 0.30/0.15 0.957 0.962 0.960 0.974 0.976 0.977
Sample haplotype (LoDSNP/LoDMOI)       
 0/0 0.960 0.926 0.962 0.983 0.978 0.966
 0.10/0.05 0.963 0.944 0.968 0.985 0.986 0.976
 0.20/0.10 0.971 0.960 0.968 0.984 0.987 0.982
 0.30/0.15 0.967 0.972 0.967 0.982 0.983 0.984
  1. Higher value represents higher accuracy
  2. MHF MalHaploFreq, R-EM malaria em, Bayesian Bayesian statistic, EM EM algorithm, MCMC Markov chain Monte Carlo, Gibbs Gibbs sampler, LoD limit of detection, SNP single nucleotide polymorphisms, MOI multiplicity of infection