Article

BayesTME: A unified statistical framework for spatial transcriptomics

2022-07-10

Abstract excerpt

Spatial variation in cellular phenotypes underlies heterogeneity in immune recognition and response to therapy in cancer and many other diseases. Spatial transcriptomics (ST) holds the potential to quantify such variation, but existing analysis methods address only a small part of the analysis challenge, such as spot deconvolution or spatial differential expression. We present BayesTME, an end-to-end Bayesian meth...

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Literature Corpus work: 3e2d5f91-5358-5edb-a83f-0a666bf9902b
DOI: 10.1101/2022.07.08.499377

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