SmartGate

BackGround of SmartGate

spatial metabolomics by introducing an iterative graph attention auto-encoder method SmartGate For imageing mass specturm(IMS) datasets, SmartGate could get latent low dimension peak features by Graph-attention autoencoder which help us achieve automic peak picking iteratively to find the marker ions.

The workflow of SmartGate

Requirments

scanpy
STAGATE
pandas
h5py

Data

https://drive.google.com/drive/folders/1f61u4hnBtug84yxBdnq1qlUm73YKzZIH

Citation

Content

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