Cell segmentation-free inference of cell types from in situ transcriptomics data
Inaccurate cell segmentation has been the major problem for cell-type identification and tissue characterization of the in situ spatially resolved transcriptomics data. Here we show a robust cell segmentation-free computational framework (SSAM), for identifying cell types and tissue domains in 2D an...
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Bibliographic Details
Main Authors: |
Jeongbin Park,
Wonyl Choi,
Sebastian Tiesmeyer,
Brian Long,
Lars E. Borm,
Emma Garren,
Thuc Nghi Nguyen,
Bosiljka Tasic,
Simone Codeluppi,
Tobias Graf,
Matthias Schlesner,
Oliver Stegle,
Roland Eils,
Naveed Ishaque |
Format: | Article
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Language: | English |
Published: |
Nature Publishing Group
2021-06-01
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Series: | Nature Communications
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Online Access: | https://doi.org/10.1038/s41467-021-23807-4
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