Estimation of population genetic parameters using an EM algorithm and sequence data from experimental evolution populations.
Yasuhiro KojimaHirotaka MatsumotoHisanori KiryuPublished in: Bioinform. (2020)
Keyphrases
- em algorithm
- maximum likelihood estimation
- sequence data
- expectation maximization
- parameter estimation
- maximum likelihood
- log likelihood function
- mixture model
- likelihood function
- update equations
- expectation maximisation
- gaussian mixture
- gaussian mixture model
- maximum likelihood estimates
- parameter learning
- natural selection
- population dynamics
- incomplete data
- probabilistic model
- hyperparameters
- generative model
- population genetics
- density estimation
- sequence classification
- genetic variation
- probability density function
- maximum a posteriori
- mixture modeling
- mixture distribution
- model based clustering
- log likelihood
- finite mixture model
- binding sites
- island model
- unsupervised learning
- gradient method
- computer vision