scSemiGCN: boosting cell-type annotation from noise-resistant graph neural networks with extremely limited supervision.
Jue YangWeiwen WangXiwen ZhangPublished in: Bioinform. (2024)
Keyphrases
- noise resistant
- neural network
- active learning
- random walk
- pattern recognition
- learning algorithm
- neural network model
- self organizing maps
- directed graph
- back propagation
- artificial neural networks
- structured data
- semantic annotation
- feature space
- graph matching
- multilayer perceptron
- recurrent neural networks
- ensemble methods
- automatic image annotation
- manual annotation
- machine learning