scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis.
Zehao XiongXiangtao ChenJiawei LuoCong ShenZhongyuan XuPublished in: BIBM (2022)
Keyphrases
- semi supervised learning
- labeled data
- training data
- unlabeled data
- data sets
- semi supervised
- data analysis
- missing values
- supervised learning
- probabilistic latent semantic analysis
- data points
- machine learning
- high dimensional data
- information extraction
- co occurrence
- text classification
- knowledge discovery
- prior knowledge
- machine learning algorithms
- missing data
- neural network