STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering.
Lihong PengXianzhi HeXinhuai PengZejun LiLi ZhangPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- spatial data
- neural network
- data sets
- denoising
- data points
- graph representation
- multidimensional data
- data objects
- data structure
- data analysis
- clustering algorithm
- data mining techniques
- data collection
- spectral clustering
- self organizing maps
- grid cells
- training data
- categorical data
- image processing
- random walk
- image data
- xml documents
- k means
- multiscale