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Table 3 The mean squared error (MSE) 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 0.103 0.178 0.091 0.050 0.085 0.097
 0.10/0.05 0.108 0.138 0.088 0.043 0.047 0.065
 0.20/0.10 0.120 0.103 0.108 0.051 0.040 0.050
 0.30/0.15 0.177 0.086 0.141 0.072 0.076 0.062
Sample haplotype (LoDSNP/LoDMOI)       
 0/0 0.082 0.158 0.077 0.041 0.080 0.091
 0.10/0.05 0.086 0.117 0.072 0.032 0.038 0.055
 0.20/0.10 0.095 0.081 0.089 0.036 0.027 0.037
 0.30/0.15 0.150 0.063 0.122 0.053 0.058 0.044
  1. Lower 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