DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data
PLoS Computational Biology
Analysis (PCA), Factor Analysis (FA), Independent Component Analysis (ICA), Isometric Feature Mapping (Isomap), t-distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation ...
A deep learning with graphic cluster (DGCyTOF) visualization is developed as a new integrated embedding visualization approach in identifying canonical and new cell types. ...
Such dimension-reduction techniques include Principal Component Analysis (PCA)  , Factor Analysis (FA)  , Independent Component Analysis (ICA)  , Isometric Feature Mapping (Isomap)  ...