DAIS: a method for identifying spatial domains based on density clustering of spatial omics data

Qichao Yu; Ru Tian; Xin Jin; Liang Wu

doi:10.1016/j.jgg.2024.04.002

Volume 51 Issue 8

Aug. 2024

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Article Navigation > Journal of Genetics and Genomics > 2024 > 51(8): 884-887

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DAIS: a method for identifying spatial domains based on density clustering of spatial omics data

doi: 10.1016/j.jgg.2024.04.002

Qichao Yu^1,2,3,
Ru Tian^1,2,3,
Xin Jin^4,5,
Liang Wu^6,7

1. College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
2. BGI Research, Shenzhen, Guangdong 518083, China;
3. BGI Research, Chongqing 401329, China;
4. College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
5. BGI Research, Shenzhen, Guangdong 518083, China;
6. BGI Research, Shenzhen, Guangdong 518083, China;
7. BGI Research, Chongqing 401329, China

Funds:

This work was supported by the National Key R&D Program of China (2021YFC2501900), the National Natural Science Foundation of China (32300514), and the Science, Technology and Innovation Commission of Shenzhen Municipality (LCYX20220620105200001).

Received Date: 2024-02-18
Accepted Date: 2024-04-02
Rev Recd Date: 2024-03-17

Available Online: 2025-06-06

Publish Date: 2024-04-08

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