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STAIG: Spatial Transcriptomics Analysis via Image-Aided Graph Contrastive Learning for Domain Exploration and Alignment-Free Integration

Yitao Yang, Yang Cui, Xin Zeng, Yubo Zhang, Martin Loza, Sung-Joon Park, Kenta Nakai
doi: https://doi.org/10.1101/2023.12.18.572279

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doi 
https://doi.org/10.1101/2023.12.18.572279
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  • January 2, 2024.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.

Author Information

  1. Yitao Yang1,
  2. Yang Cui1,
  3. Xin Zeng1,
  4. Yubo Zhang1,
  5. Martin Loza2,
  6. Sung-Joon Park2 and
  7. Kenta Nakai1,2,*
  1. 1Department of Computational Biology and Medical Science, the University of Tokyo
  2. 2Human Genome Center, the Institute of Medical Science, the University of Tokyo
  1. ↵* Corresponding author; email: knakai{at}ims.u-tokyo.ac.jp
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Posted January 02, 2024.
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STAIG: Spatial Transcriptomics Analysis via Image-Aided Graph Contrastive Learning for Domain Exploration and Alignment-Free Integration
Yitao Yang, Yang Cui, Xin Zeng, Yubo Zhang, Martin Loza, Sung-Joon Park, Kenta Nakai
bioRxiv 2023.12.18.572279; doi: https://doi.org/10.1101/2023.12.18.572279
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