BayesTME: An end-to-end method for multiscale spatial transcriptional profiling of the tissue microenvironment
Spatial variation in cellular phenotypes underlies heterogeneity in immune recognition and response to therapy in cancer and many other diseases. Spatial transcriptomics holds the potential to quantify such variation, but existing analysis methods are limited by their focus on individual tasks such...
主要な著者: | , , , , , , |
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フォーマット: | Journal article |
言語: | English |
出版事項: |
Cell Press
2023
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