DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
Zhe SunTing WangKe DengXiao-Feng WangRobert LafyatisYing DingMing HuWei ChenPublished in: Bioinform. (2018)
Keyphrases
- mixture model
- data sets
- data points
- training data
- data analysis
- em algorithm
- finite mixture models
- gaussian mixture model
- missing data
- probability distribution
- maximum likelihood
- unsupervised learning
- semi supervised
- hierarchical clustering
- expectation maximization
- probabilistic model
- prior knowledge
- decision trees
- clustering algorithm