Quantifying Cell-Type-Specific Differences of Single-Cell Datasets Using Uniform Manifold Approximation and Projection for Dimension Reduction and Shapley Additive exPlanations.
Hong Seo LimPeng QiuPublished in: J. Comput. Biol. (2023)
Keyphrases
- dimension reduction
- manifold learning
- low dimensional
- high dimensional
- principal component analysis
- feature extraction
- high dimensional problems
- feature space
- high dimensional data
- generative topographic mapping
- manifold embedding
- pattern recognition
- singular value decomposition
- dimensionality reduction
- linear discriminant analysis
- manifold learning algorithm
- nonlinear manifold
- cluster analysis
- feature selection
- clustering algorithm
- computer vision
- data sets
- database
- text mining
- nearest neighbor
- random projections
- discriminative information
- intrinsic dimension
- real world