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...
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 |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-06-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-23807-4 |
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