scSemiGAN: a single-cell semi-supervised annotation and dimensionality reduction framework based on generative adversarial network.
Zhongyuan XuJiawei LuoZehao XiongPublished in: Bioinform. (2022)
Keyphrases
- semi supervised
- dimensionality reduction
- generative model
- active learning
- kernel learning
- graph embedding
- peer to peer
- unsupervised learning
- subspace learning
- semi supervised dimensionality reduction
- machine learning
- manifold regularization
- discriminative models
- data representation
- manifold learning
- high dimensionality
- network structure
- low dimensional
- supervised learning
- probabilistic model
- pairwise
- multi agent