DeepSGE
Predicts spatially resolved gene expression from histological images.
Visit tool
github.com
About DeepSGE
DeepSGE is a deep learning-based model that uses residual network with efficient channel attention, Vision Transformer, and dynamic graph attention network to predict spatially resolved gene expression from histological images. It outperforms competing methods in spatial gene expression prediction and spatial clustering.
Description summarised by AI from the sources listed below.
Key features
- Predicts spatially resolved gene expression from histological images
- Uses residual network with efficient channel attention
- Uses Vision Transformer
- Uses dynamic graph attention network
Use cases
- Spatial gene expression prediction
- Spatial clustering
Pricing
Pricing model: Unknown — we have not been able to confirm pricing from the official website, so nothing is stated here.
Pricing summarised by AI from the sources listed below.
