Markov chain Monte Carlo and expectation maximization approaches for estimation of haplotype frequencies for multiply infected human blood samples.
Gie Ken-DrorIan M HastingsPublished in: Malaria journal (2016)
The EM and the MCMC algorithms perform well when analysing malaria genetic data obtained from infected human blood samples. The results are robust to genotyping errors caused by LoDs and function well even in the absence of MOI data on individual patients.
Keyphrases
- endothelial cells
- monte carlo
- end stage renal disease
- induced pluripotent stem cells
- ejection fraction
- newly diagnosed
- chronic kidney disease
- genome wide
- pluripotent stem cells
- machine learning
- prognostic factors
- big data
- emergency department
- high throughput
- patient safety
- deep learning
- patient reported
- artificial intelligence