SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data.
Yushan QiuChang YanPu ZhaoQuan ZouPublished in: Briefings Bioinform. (2023)
Keyphrases
- spectral clustering
- semi supervised
- input data
- data sets
- negative matrix factorization
- high dimensional data
- data points
- supervised learning
- unsupervised learning
- missing data
- missing values
- probabilistic model
- data sources
- k means
- learning algorithm
- labeled data
- data clustering
- incomplete data
- principal component analysis
- document clustering
- cluster analysis
- knowledge discovery
- active learning
- pattern recognition
- neural network