Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks.
Yuansong ZengZhuoyi WeiWeijiang YuRui YinYuchen YuanBingling LiZhonghui TangYutong LuYuedong YangPublished in: Briefings Bioinform. (2022)
Keyphrases
- neural network
- fuzzy logic
- fault diagnosis
- prediction accuracy
- graph representation
- spatial information
- prediction model
- spatio temporal
- graph theory
- artificial neural networks to predict
- neural network ensemble
- prediction algorithm
- spatial data
- directed graph
- bipartite graph
- neural networks and support vector machines
- multi layer perceptron
- spatial distribution
- graph model
- genetic algorithm
- pattern recognition
- graph structure
- neural nets
- graph databases
- spatial databases
- radial basis function network
- inter layer
- structured data
- soft computing
- feed forward
- self organizing maps
- protein function prediction
- random walk
- short term prediction