SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model.
Yan ZhengYuanke ZhongJialu HuXuequn ShangPublished in: BMC Bioinform. (2021)
Keyphrases
- mixture model
- generative model
- gaussian mixture model
- probabilistic model
- em algorithm
- density estimation
- missing data imputation
- missing values
- expectation maximization
- model selection
- unsupervised learning
- mixture modeling
- maximum likelihood
- language model
- data imputation
- probability density function
- knn
- pattern recognition
- image segmentation
- data mining