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Table 2 The similarity index (IF) 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 0.906 0.879 0.910 0.938 0.915 0.919
 0.10/0.05 0.911 0.894 0.913 0.943 0.938 0.934
 0.20/0.10 0.905 0.909 0.909 0.940 0.945 0.940
 0.30/0.15 0.889 0.918 0.898 0.930 0.930 0.932
Sample haplotype (LoDSNP/LoDMOI)       
 0/0 0.917 0.886 0.917 0.942 0.917 0.921
 0.10/0.05 0.923 0.904 0.922 0.950 0.942 0.939
 0.20/0.10 0.915 0.920 0.917 0.948 0.953 0.948
 0.30/0.15 0.897 0.930 0.906 0.938 0.937 0.942
  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