Graph Fourier transform for spatial omics representation and analyses of complex organs
Abstract Spatial omics technologies decipher functional components of complex organs at cellular and subcellular resolutions. We introduce Spatial Graph Fourier Transform (SpaGFT) and apply graph signal processing to a wide range of spatial omics profiling platforms to generate their interpretable r...
| Published in: | Nature Communications |
|---|---|
| Main Authors: | Yuzhou Chang, Jixin Liu, Yi Jiang, Anjun Ma, Yao Yu Yeo, Qi Guo, Megan McNutt, Jordan E. Krull, Scott J. Rodig, Dan H. Barouch, Garry P. Nolan, Dong Xu, Sizun Jiang, Zihai Li, Bingqiang Liu, Qin Ma |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-08-01
|
| Online Access: | https://doi.org/10.1038/s41467-024-51590-5 |
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